The research activities are based on the extension of the IMS platform to support a common management architecture that supports heterogeneous networks and the use of 802.21 protocol for transparent user switching . To sum up , the individual results of this study can be used for the design , implementation and evaluation of a framework for secure and optimized multimedia services taking into account : - Security issues related to IP audio and video services . - Methods of detection of security problems . Cloud computing provides the way to share distributed resources and services that belong to different organizations or sites . Since Cloud computing share distributed resources via network in the open environment thus it makes security problems . In contrast to traditional solutions , where the IT services are under proper physical , logical and personnel controls , Cloud Computing moves the application software and databases to the large data centres , where the management of the data and services may not be fully trustworthy . For a small home or office environment the currently available infrastructure might be adequate , but for mission-critical applications it lacks essential security properties . In the sequel we identify weak points in the Jini architecture and its protocols and propose an extension to the architecture that provides a solution to the identified security problems . We describe the design choices underlying our implementation which aims at maximum compatibility with the existing Jini specifications . Security concerns for battery-operated wireless systems require the development of energy-efficient data-encryption techniques that can adapt to the time-varying data rates and quality-of-service requirements inherent in a wireless application . This work describes the design and implementation of a configurable encryption processor that allows the security provided to be traded off with respect to the energy that is dissipated to encrypt a bit . ABSTRACT Network traffic classification and characterisation is playing an increasingly vital role in understanding and solving security-related issues in internet-based applications . The priority of research studies in this area has focused on characterisation of network traffic based on various layers of communication protocols as outlined in the TCP/IP stack and even further expanded to concentrate on specific application-layer protocols . We provide a comprehensive mobile agent security history . We create and employ taxonomy for describing and understanding all security aspects that relate to mobile agents : mobility , threats , requirements , mechanisms , verification , evaluation metrics , and mechanisms . In most real world data warehouses ( DWs ) projects , security aspects are issues that usually rely on DBMS administrators . We argue that the design of security aspects should be considered together with the conceptual modeling of DWs from the early stages of a DW project , and being able to attach user security information to the basic structures of a multidimensional ( MD ) model ( e.g. dimensions , facts , attributes , and so on ) . In this way , we would be able to generate this information in a semi or automatic way into a target platform and the final DW will better suit user security requirements . The main technology components of an RFID system are a tag , reader , and database . The use of tags and databases raises significant impact on security considerations associated to the confidentiality , integrity , and accessibility of the data on the tags , in the databases , and in how this information is being protected . Authentication protocol , which is the process of verifying the claimed identity of a user , can be used between tag and reader as a way to mitigate security risks . Security considerations , such as role-based access control ( RBAC ) mechanism and separation of duty ( SoD ) constraints , are important and integral to workflow systems . Since the definition of workflows with these security considerations is a complicated and error-prone process , rigorous verification techniques are desirable for uncovering logical errors and assuring correctness . Information security ≠ information system + security features such as access control and intrusion detection . Security considerations must be an integral part of the entire lifecycle of the information system . This paper presents a framework to systematically classify all security considerations throughout the lifecycle of an information system . It is not recommended as a way to transmit or store all data of the sensor nodes for analysis to the end user . The purpose of this “ Event Base Detection ” Model is to simulate the results in terms of energy savings during field activities like a fire detection system in a remote area or habitat monitoring , and it is also used in security concerned issues . The model is designed to detect events ( when occurring ) of significant changes and save the data for further processing and transmission . It is not recommended as a way to transmit or store all data of the sensor nodes for analysis to the end user . The purpose of this “ Event Based Detection ” Model is to simulate the results in terms of energy savings during field activities like a fire detection system in a remote area or habitat monitoring , and it is also used in security concerned issues . The model is designed to detect events ( when occurring ) of significant changes and save the data for further processing and transmission . As well 3D-machine-vision-systems are used as solution for diverse problems in manufacturing engineering . The area of possible application ranges from simple tasks for quality control or manipulation and handling to complex security relevant issues . On account of its continued development and the diversity of applicable methods in the field of machine vision , the project planning of 3D machine-vision-application is a challenging task . The development of smart homes has advanced the concept of user authentication to not only protecting user privacy but also facilitating personalized services to users . Along this direction , we propose to integrate user authentication with human-computer interactions between users and smart household appliances through widely-deployed WiFi infrastructures , which is non-intrusive and device-free . In this paper , we propose FingerPass which leverages channel state information ( CSI ) of surrounding WiFi signals to continuously authenticate users through finger gestures in smart homes . Using near field communication ( NFC ) technology to integrate eID into the application system ’s authentication process , this paper designs and implements the eID authentication procedure . This method guarantees user identity authentication safe and reliable as well as protects users ’ privacy validly on mobile terminals . Experiment shows it ’s a universal and effective solution . It is vital to ensure that the displayable quality of the images is not compromised so that the genuine user can still authenticate without difficulty . Fortunately usability testing showed that the enhanced security model had no impact on the user authentication process . All the benefits of graphical passwords , such as ease of use and increased memorability , are preserved whilst resisting automated attacks . Then the design platform , the system constructsand the function model are discussed roundly . This paper illustrates several security problems existed in OA system based on Lotus Domino/Notes , andhas analyzed its solution mechanism , such as , user identification authentication , access control and encryption . In the case of an epileptic seizure detection an average accuracy of 84 % is observed . For user identification/authentication using gait an average accuracy of 98.65 % is achieved . After the technical scheme is adopted , due to the fact that the locating process is independent of a self propelled ( SP ) service server , a locating platform can obtain a mobile phone number directly from a network side , and thus protection of user privacy is achieved . In addition , the effective monitoring function to user identification authentication and the validity of the locating request of the access server guarantees the validity of the locating request . Moreover , the invention further provides a providing system of the mobile phone client-side location services . Privacy-preserving mechanisms have already been proposed in the past ; nevertheless , they are based on RSA groups or groups with bilinear pairings , which are inefficient in mobile devices due to its computational complexity . Thus , in this paper , we integrate a lightweight anonymous credential mechanism , suitable for computationally-limited mobile devices , into the user authentication phase of the OAuth2 protocol , which has become a de facto solution for user authentication in mobile applications . The proposed protocol enables citizen 's authentication towards service providers , while preserving their privacy . Despite the efficacy of minutia-based fingerprint matching techniques for good-quality images captured by optical sensors , minutia-based techniques do not often perform so well on poor-quality images or fingerprint images captured by small solid-state sensors . Solid-state fingerprint sensors are being increasingly deployed in a wide range of applications for user authentication purposes . Therefore , it is necessary to develop new fingerprint-matching techniques that utilize other features to deal with fingerprint images captured by solid-state sensors . In Chapter 3 , we discussed user authentication on web applications in detail . In this chapter , we focus on user-based authentication for native applications by using the authentication flows and OpenID Connect concepts explained in Chapter 2 . Distributed Denial of Service ( DDoS ) attacks continue to pose major threats to the Internet . IP traceback can identify locations of attackers and attacking paths . A denial-of-service attack DoS attack or distributed denial-of-service attack DDoS attack is an attempt to make a machine or network resource unavailable to its intended users . In this paper , a new technique for detecting DoS attacks is proposed ; it detects DOS attacks using a set of classifiers and visualizes them in real time . Denial-of-Service attack ( DoS attack ) is an attack on network in which an attacker tries to disrupt the availability of network resources by overwhelming the target network with attack packets . In DoS attack it is typically done using a single source , and in a Distributed Denial-of-Service attack ( DDoS attack ) , like the name suggests , multiple sources are used to flood the incoming traffic of victim . Typically , such attacks use vulnerabilities of Domain Name System ( DNS ) protocol and IP spoofing to disrupt the normal functioning of service provider or Internet user . In computing , a denial-of-service attack ( DoS attack ) is a cyber-attack where the perpetrator seeks to make a machine or network resource unavailable to its intended users by temporarily or indefinitely disrupting services of a host connected to the Internet . In a distributed denial-of-service attack ( DDoS attack ) , the incoming traffic flooding the victim originates from many different sources . This effectively makes it impossible to stop the attack simply by blocking a single source . We illustrate the model structure , flow processing mechanisms , and simulator implementation . We also illustrate the use of this simulator to detect distributed denial-of-service ( DDoS ) flooding attacks , based on a cross-correlation-based measure . Finally , we show that the layered structure provides new insights on the spatiotemporal spread patterns of cascading failure , by revealing spreads both horizontally within a sub-network and vertically across sub-networks . In recent years , Path identifiers(PID)are used as inter-domain routing objects in the network . However , the PIDs used in existing approaches are static , which makes it easy for attackers to launch distributed denial-of-service ( DDoS ) flooding attacks . To address this issue , introduce a D-PID , framework that uses PIDs negotiated between neighboring domains as inter-domain routing objects . The term denial of Service ( DOS ) refers to form an attacking computers over a network . The denial of service attack is an explicit attempt by an attacker to prevent the legitimate users not to access the services . Further , cryptographic methods were revised to secure the routing information . These protocols had created new avenues for denial of service ( DoS ) as a part of the process . Thus , the trade-off between security strength and DoS vulnerability has become an emerging area , which required further investigation . We extend McCullough 's restrictiveness to additionally prevent probabilistic interference . Then , to illustrate the use of our extension , we develop a nondeterministic system that solves a denial of service problem , and we use our definition to prove that the system is secure . Finally , we prove a limited composability result . The paper mainly does the following work : by analyzing the intrusion deeply , extract the properties which can reflect intrusion characteristics effectively ; combine misuse detection , anomaly detection and human intervention , establish rule library based on C.45 decision tree algorithm and use the optimal pattern matching so as to improve detection rate ; the hosts are clustered to be IP group based on visit number by k-means clustering algorithm , the audit data are divided into parts under the IP group 's direction , and the classifiers are built up by divided audit data respectively , then the detected Data apply different rules according to their own IP group , thereby reduce false positives . The experiments proved that the method is effective to detect intrusion such as scanning and Deny of Service . One of the application with the novel procedure named school bus routing approach is proposed , which can coordinate the characteristics of the system , with the goal of detection of denial of service attacks . This strategy is employed that is most powerful adequate to schedule the sensor nodes in such a route , to the point that it monitors the network traffic for identification of source of attack and for the denial of service provision to the users . The throughput , packet loss ratio and packet delivery results were simulated and analyzed in the network based on the implementation of proposed routing approach . The core IPv6 specification requires that when a host receives an ICMPv6 " Packet Too Big " message reporting a " Next-Hop MTU " smaller than 1280 , the host includes a Fragment Header in all subsequent packets sent to that destination , without reducing the assumed Path- MTU . The simplicity with which ICMPv6 " Packet Too Big " messages can be forged , coupled with the widespread filtering of IPv6 fragments , results in an attack vector that can be leveraged for Denial of Service purposes . This document briefly discusses the aforementioned attack vector , and formally updates RFC2460 such that generation of IPv6 atomic fragments is deprecated , thus eliminating the aforementioned attack vector . For further understanding simple Network Management Protocol , through the analysis of network management and SNMP , the authors point out the potential security problem of SNMP and the development trends of network management , describe the communication mode , component parts , communication protocol and management infomation base of SNMP , and list such menace to SNMP 's security as role pretence , information modification , information divulgence , and denying of service , etc . The authors think that the core of SNMP has dangers in security because SMI ( structure of management information ) of SNMP is written by ASN . Most of such mobile terminals store several types of important data , such as personal information . Therefore , in order to prevent data theft , it is necessary to lock and unlock terminals using a personal authentication method such as personal identification numbers ( PINs ) . However , most existing authentication methods have a common problem , referred to as shoulder-surfing in which authentication information is covertly obtained by peeking over the shoulder of a user as he/she completes the authentication sequence . An Imperative Step in Tracking Data Theft via USB Devices . Owing to the increasing pace of occurrence of crimes in digital world , cyber forensic investigation is becoming a burning topic in the field of information security . Today , as many organization and enterprises are beginning to adopt the IOT(internet of things),they all need for large amount of data to be accessed quickly , to be safe on cloud from attacker or insider then the security is also important mechanism to secure cloud data of an government organization or any IT-industry . Sometimes existing encryption data protection mechanisms failed in preventing data theft attacks from criminal attacker , especially from insider to the cloud provider . To provide security to cloud data from unauthorized access from malicious attacker we propose a different approach to securing data in cloud system by using decoy technology . In recent years , the problem of data theft is becoming more and more serious . This paper provides a graph update method of data theft detection based on rough set DLD-RGU to prevent the leakage of sensitive data . This method builds a clustering model of sensitive text data by training samples , and then constructs a sensitive word graph structure , periodically calculates the importance of sensitive words and latent sensitive words to update the sensitive word graph , adapts to the change of incremental sensitive data , and improves the detection effect . Along with the increasing level of criminal data theft that occurs , a good room security system is needed to maintain data security of a particular agency or organization . A good security system is a security system that can be monitored and controlled over long distances using the internet or better known as IoT ( Internet of Things ) . Data and information leakage is one of the prevalent tribulations in today ’s internet world during transfer . Traditional algorithms are not enough to hide data/information theft . This is the reason behind developing number system oriented text Steganography for short messages . Web Scraping may consider as data theft action , several researchers have introduced some approaches for addressing this issue . These solutions could solve the problem in partial ways and sometimes , solution can not be applicable with modern web techniques . Due to this , most of them banned the use of USB device . In this paper we present a solution to this data theft problem which will automatically fetch & store the Unique ID ( Serial Number ) of mass storage USB device/Pen drive and keep record in database to monitor registered user/device as well as anonymous device . We do recognize the patter of all connected anonymous device all over the intranet and represent it in a graphical form . Corporations need concrete comparisons between different tools in order to choose which is best suited for their needs . This thesis aims at comparing an anomaly detector with a signature detector in order to establish which is best suited to detect a data theft threat . The second aim of this thesis is to establish the influence of the training period length of an anomaly Intrusion Detection System ( IDS ) on its detection rate . Increasing transmission of medical images across multiple user systems raises concerns for image security . Hiding watermark information in medical image data files is one solution for enhancing security and privacy protection of data . In today 's world of digital communication , as technology progresses , there is more and more attention required on image security . Many visual cryptography algorithms have been suggested and digital watermarking in association with visual cryptography is also proposed for more image security . An image watermarking model based on progressive visual cryptography is proposed to decide optimal number of shares . However , there are many differences in implementation especially for an integrated system like picture archiving and communication system ( PACS ) , and the infrastructure to deploy these security standards is often lacking . Over the past 6 years , members in the Image Processing and Informatics Laboratory , Childrens Hospital , Los Angeles/University of Southern California , have actively researched image security issues related to PACS and teleradiology . The paper summarizes our previous work and presents an approach to further research on the digital envelope ( DE ) concept that provides image integrity and security assurance in addition to conventional network security protection . Authentication is one of the image security issues solved by hash function and another one issue is providing security for illegal manipulation of digital image is solved by an encryption . An optimized hybrid image security mechanism for authentication and secrecy of images by means of Particle Swarm Optimization ( PSO ) in daubechies4 transform is illustrated in this paper . We address image security issues by proposing a scheme for watermarking images or video at the camera . Each watermark is unique and identifies the owner , camera , and frame number . The experimental results show that the auto-correlation , cross-correlation , run-length and balance characteristics of the encryption sequences generated by this algorithm are excellent . On the premise of avoiding the complex operation of high-dimensional chaos mapping , the encryption intensity and cracking difficulty of the system are greatly improved , and the problem of image security requirements under different conditions is effectively solved . However , must of the existing SSGs RL models feature strong assumptions including that the defenders and attackers have perfect information about the behavioral model , producing inconsistencies . We address these problems proposing a practical framework for representing real-world security problems by empowering SSGs with a RL approach considering incomplete state information . The players ’ behavior and rationality are restricted to a class of partially observed Markov games ( POMG ) . Despite over four decades of security research , the limited ability for existing access control mechanisms to generically enforce policy persists . While researchers , practitioners and policy makers have specified a large variety of access control policies to address real-world security issues , only a relatively small subset of these policies can be enforced through off-the-shelf technology , and even a smaller subset can be enforced by any one mechanism . In this paper , we propose an access control framework , referred to as the Policy Machine ( PM ) that fundamentally changes the way policy is expressed and enforced . In this paper we discuss how a research-orientated student red-team provides free security assessments to organizations within the community . Such activities provide students with valuable skills and knowledge in dealing with real-world security issues . We present our approach to implementing such a team as a permanent fixture within our IT program 's Cyber Security Research Lab and discuss the mutual benefits that such an offering presents . Until twenty years ago , the application of game theory ( GT ) was mostly limited to toy examples . Today , as a result of major technological and algorithmic advances , researchers use game-theoretical models to motivate complex security decisions relating to real-life security problems . This requires models that are an accurate reflection of reality . We empirically demonstrate the significant superiority of our method over existing methods , such as the predictive-coding method and the hypothesis testingmethod , in terms of detection accuracy and computational efficiency for artificial data sets . We further apply our method into real security issues called malware detection . We empirically demonstrate that our method is able to detect unseen security incidents at significantly early stages . With the widespread use of technology , companies of all sizes have benefited from the use of resources and technologies on the Internet . On the other hand , real security threats are increasing problems and intrusion detection systems ( IDS ) can help protect external and internal organizations and provide network security . The intrusion detection system only monitors network traffic and informs the system administrator for unusual activity . This paper presents the author 's experience in developing an undergraduate course on security auditing . It discusses the course design , procedures , and a series of innovative laboratory projects that are aimed to simulate real-world security concerns . This course is one of the core courses of the newly established B. S. in security program in the Department of Network , Security , and Systems Administration at RIT . Security is a bottleneck of EC(electronic commerce ) development , and EC security experiment also an im-portant part of EC security teaching . The article discusses how to take concerted action with the curricular teaching of EC security and carry out the setting and research of experimental curriculum , and analyzes and summarizes the EC security experiment content and teaching effectiveness in the teaching process . Through the experiment , the students have a fairly complete and in-depth understanding of the EC security knowledge , could apply the security contents in the EC process￡?thus raising their practical application ability of EC security technology . Derived numerical expressions were verified using both C programs and HDL ( Hardware Description Language ) . Proposed method of EC scalar point multiplication can be utilized in many EC security applications for handling efficient and fast calculations . The use of information technology to transmit and process business information has inevitably brought the defects and shortcomings of its own into the field of EC.The security issue is becoming the primary factor restricting the development of electronic commerce , and is the most important issues related to EC system can be run successfully . EC security issues can be basically divided into two parts , namely , computer network security and business transaction security . The paper discusess these two parts and gives the countermeasures in the last . The security of virtual machines ( VM ) is one of such critical challenges for cloud computing . However , existing techniques for VM security , such as Terra , tboot and TXT , mainly focus on the security of VM running environment . There is a lack of protection mechanism for VMs themselves in clouds . Virtual machines ( VMs ) in cloud computing need to be protected , since they are hosting critical data . In this paper , we propose trusted model for VM security in cloud computing . In our model , we encrypt the VM image and store in cloud , and it stops inside attackers from violating the confidentiality . The security of such VMs is critical to IaaS security . Many studies have been done on cloud computing security issues , but research into VM security issues , especially regarding VM network traffic anomalous behavior detection , remains inadequate . More and more studies show that communication among internal nodes exhibits complex patterns .
The research activities are based on the extension of the IMS platform to support a common management architecture that supports heterogeneous networks and the use of 802.21 protocol for transparent user switching . To sum up , the individual results of this study can be used for the design , implementation and evaluation of a framework for secure and optimized multimedia services taking into account : - Security issues related to IP audio and video services . - Methods of detection of security problems .
Cloud computing provides the way to share distributed resources and services that belong to different organizations or sites . Since Cloud computing share distributed resources via network in the open environment thus it makes security problems . In contrast to traditional solutions , where the IT services are under proper physical , logical and personnel controls , Cloud Computing moves the application software and databases to the large data centres , where the management of the data and services may not be fully trustworthy .
For a small home or office environment the currently available infrastructure might be adequate , but for mission-critical applications it lacks essential security properties . In the sequel we identify weak points in the Jini architecture and its protocols and propose an extension to the architecture that provides a solution to the identified security problems . We describe the design choices underlying our implementation which aims at maximum compatibility with the existing Jini specifications .
Security concerns for battery-operated wireless systems require the development of energy-efficient data-encryption techniques that can adapt to the time-varying data rates and quality-of-service requirements inherent in a wireless application . This work describes the design and implementation of a configurable encryption processor that allows the security provided to be traded off with respect to the energy that is dissipated to encrypt a bit .
ABSTRACT Network traffic classification and characterisation is playing an increasingly vital role in understanding and solving security-related issues in internet-based applications . The priority of research studies in this area has focused on characterisation of network traffic based on various layers of communication protocols as outlined in the TCP/IP stack and even further expanded to concentrate on specific application-layer protocols .
We provide a comprehensive mobile agent security history . We create and employ taxonomy for describing and understanding all security aspects that relate to mobile agents : mobility , threats , requirements , mechanisms , verification , evaluation metrics , and mechanisms .
In most real world data warehouses ( DWs ) projects , security aspects are issues that usually rely on DBMS administrators . We argue that the design of security aspects should be considered together with the conceptual modeling of DWs from the early stages of a DW project , and being able to attach user security information to the basic structures of a multidimensional ( MD ) model ( e.g. dimensions , facts , attributes , and so on ) . In this way , we would be able to generate this information in a semi or automatic way into a target platform and the final DW will better suit user security requirements .
The main technology components of an RFID system are a tag , reader , and database . The use of tags and databases raises significant impact on security considerations associated to the confidentiality , integrity , and accessibility of the data on the tags , in the databases , and in how this information is being protected . Authentication protocol , which is the process of verifying the claimed identity of a user , can be used between tag and reader as a way to mitigate security risks .
Security considerations , such as role-based access control ( RBAC ) mechanism and separation of duty ( SoD ) constraints , are important and integral to workflow systems . Since the definition of workflows with these security considerations is a complicated and error-prone process , rigorous verification techniques are desirable for uncovering logical errors and assuring correctness .
Information security ≠ information system + security features such as access control and intrusion detection . Security considerations must be an integral part of the entire lifecycle of the information system . This paper presents a framework to systematically classify all security considerations throughout the lifecycle of an information system .
It is not recommended as a way to transmit or store all data of the sensor nodes for analysis to the end user . The purpose of this “ Event Base Detection ” Model is to simulate the results in terms of energy savings during field activities like a fire detection system in a remote area or habitat monitoring , and it is also used in security concerned issues . The model is designed to detect events ( when occurring ) of significant changes and save the data for further processing and transmission .
It is not recommended as a way to transmit or store all data of the sensor nodes for analysis to the end user . The purpose of this “ Event Based Detection ” Model is to simulate the results in terms of energy savings during field activities like a fire detection system in a remote area or habitat monitoring , and it is also used in security concerned issues . The model is designed to detect events ( when occurring ) of significant changes and save the data for further processing and transmission .
As well 3D-machine-vision-systems are used as solution for diverse problems in manufacturing engineering . The area of possible application ranges from simple tasks for quality control or manipulation and handling to complex security relevant issues . On account of its continued development and the diversity of applicable methods in the field of machine vision , the project planning of 3D machine-vision-application is a challenging task .
The development of smart homes has advanced the concept of user authentication to not only protecting user privacy but also facilitating personalized services to users . Along this direction , we propose to integrate user authentication with human-computer interactions between users and smart household appliances through widely-deployed WiFi infrastructures , which is non-intrusive and device-free . In this paper , we propose FingerPass which leverages channel state information ( CSI ) of surrounding WiFi signals to continuously authenticate users through finger gestures in smart homes .
Using near field communication ( NFC ) technology to integrate eID into the application system ’s authentication process , this paper designs and implements the eID authentication procedure . This method guarantees user identity authentication safe and reliable as well as protects users ’ privacy validly on mobile terminals . Experiment shows it ’s a universal and effective solution .
It is vital to ensure that the displayable quality of the images is not compromised so that the genuine user can still authenticate without difficulty . Fortunately usability testing showed that the enhanced security model had no impact on the user authentication process . All the benefits of graphical passwords , such as ease of use and increased memorability , are preserved whilst resisting automated attacks .
Then the design platform , the system constructsand the function model are discussed roundly . This paper illustrates several security problems existed in OA system based on Lotus Domino/Notes , andhas analyzed its solution mechanism , such as , user identification authentication , access control and encryption .
In the case of an epileptic seizure detection an average accuracy of 84 % is observed . For user identification/authentication using gait an average accuracy of 98.65 % is achieved .
After the technical scheme is adopted , due to the fact that the locating process is independent of a self propelled ( SP ) service server , a locating platform can obtain a mobile phone number directly from a network side , and thus protection of user privacy is achieved . In addition , the effective monitoring function to user identification authentication and the validity of the locating request of the access server guarantees the validity of the locating request . Moreover , the invention further provides a providing system of the mobile phone client-side location services .
Privacy-preserving mechanisms have already been proposed in the past ; nevertheless , they are based on RSA groups or groups with bilinear pairings , which are inefficient in mobile devices due to its computational complexity . Thus , in this paper , we integrate a lightweight anonymous credential mechanism , suitable for computationally-limited mobile devices , into the user authentication phase of the OAuth2 protocol , which has become a de facto solution for user authentication in mobile applications . The proposed protocol enables citizen 's authentication towards service providers , while preserving their privacy .
Despite the efficacy of minutia-based fingerprint matching techniques for good-quality images captured by optical sensors , minutia-based techniques do not often perform so well on poor-quality images or fingerprint images captured by small solid-state sensors . Solid-state fingerprint sensors are being increasingly deployed in a wide range of applications for user authentication purposes . Therefore , it is necessary to develop new fingerprint-matching techniques that utilize other features to deal with fingerprint images captured by solid-state sensors .
In Chapter 3 , we discussed user authentication on web applications in detail . In this chapter , we focus on user-based authentication for native applications by using the authentication flows and OpenID Connect concepts explained in Chapter 2 .
Distributed Denial of Service ( DDoS ) attacks continue to pose major threats to the Internet . IP traceback can identify locations of attackers and attacking paths .
A denial-of-service attack DoS attack or distributed denial-of-service attack DDoS attack is an attempt to make a machine or network resource unavailable to its intended users . In this paper , a new technique for detecting DoS attacks is proposed ; it detects DOS attacks using a set of classifiers and visualizes them in real time .
Denial-of-Service attack ( DoS attack ) is an attack on network in which an attacker tries to disrupt the availability of network resources by overwhelming the target network with attack packets . In DoS attack it is typically done using a single source , and in a Distributed Denial-of-Service attack ( DDoS attack ) , like the name suggests , multiple sources are used to flood the incoming traffic of victim . Typically , such attacks use vulnerabilities of Domain Name System ( DNS ) protocol and IP spoofing to disrupt the normal functioning of service provider or Internet user .
In computing , a denial-of-service attack ( DoS attack ) is a cyber-attack where the perpetrator seeks to make a machine or network resource unavailable to its intended users by temporarily or indefinitely disrupting services of a host connected to the Internet . In a distributed denial-of-service attack ( DDoS attack ) , the incoming traffic flooding the victim originates from many different sources . This effectively makes it impossible to stop the attack simply by blocking a single source .
We illustrate the model structure , flow processing mechanisms , and simulator implementation . We also illustrate the use of this simulator to detect distributed denial-of-service ( DDoS ) flooding attacks , based on a cross-correlation-based measure . Finally , we show that the layered structure provides new insights on the spatiotemporal spread patterns of cascading failure , by revealing spreads both horizontally within a sub-network and vertically across sub-networks .
In recent years , Path identifiers(PID)are used as inter-domain routing objects in the network . However , the PIDs used in existing approaches are static , which makes it easy for attackers to launch distributed denial-of-service ( DDoS ) flooding attacks . To address this issue , introduce a D-PID , framework that uses PIDs negotiated between neighboring domains as inter-domain routing objects .
The term denial of Service ( DOS ) refers to form an attacking computers over a network . The denial of service attack is an explicit attempt by an attacker to prevent the legitimate users not to access the services .
Further , cryptographic methods were revised to secure the routing information . These protocols had created new avenues for denial of service ( DoS ) as a part of the process . Thus , the trade-off between security strength and DoS vulnerability has become an emerging area , which required further investigation .
We extend McCullough 's restrictiveness to additionally prevent probabilistic interference . Then , to illustrate the use of our extension , we develop a nondeterministic system that solves a denial of service problem , and we use our definition to prove that the system is secure . Finally , we prove a limited composability result .
The paper mainly does the following work : by analyzing the intrusion deeply , extract the properties which can reflect intrusion characteristics effectively ; combine misuse detection , anomaly detection and human intervention , establish rule library based on C.45 decision tree algorithm and use the optimal pattern matching so as to improve detection rate ; the hosts are clustered to be IP group based on visit number by k-means clustering algorithm , the audit data are divided into parts under the IP group 's direction , and the classifiers are built up by divided audit data respectively , then the detected Data apply different rules according to their own IP group , thereby reduce false positives . The experiments proved that the method is effective to detect intrusion such as scanning and Deny of Service .
One of the application with the novel procedure named school bus routing approach is proposed , which can coordinate the characteristics of the system , with the goal of detection of denial of service attacks . This strategy is employed that is most powerful adequate to schedule the sensor nodes in such a route , to the point that it monitors the network traffic for identification of source of attack and for the denial of service provision to the users . The throughput , packet loss ratio and packet delivery results were simulated and analyzed in the network based on the implementation of proposed routing approach .
The core IPv6 specification requires that when a host receives an ICMPv6 " Packet Too Big " message reporting a " Next-Hop MTU " smaller than 1280 , the host includes a Fragment Header in all subsequent packets sent to that destination , without reducing the assumed Path- MTU . The simplicity with which ICMPv6 " Packet Too Big " messages can be forged , coupled with the widespread filtering of IPv6 fragments , results in an attack vector that can be leveraged for Denial of Service purposes . This document briefly discusses the aforementioned attack vector , and formally updates RFC2460 such that generation of IPv6 atomic fragments is deprecated , thus eliminating the aforementioned attack vector .
For further understanding simple Network Management Protocol , through the analysis of network management and SNMP , the authors point out the potential security problem of SNMP and the development trends of network management , describe the communication mode , component parts , communication protocol and management infomation base of SNMP , and list such menace to SNMP 's security as role pretence , information modification , information divulgence , and denying of service , etc . The authors think that the core of SNMP has dangers in security because SMI ( structure of management information ) of SNMP is written by ASN .
Most of such mobile terminals store several types of important data , such as personal information . Therefore , in order to prevent data theft , it is necessary to lock and unlock terminals using a personal authentication method such as personal identification numbers ( PINs ) . However , most existing authentication methods have a common problem , referred to as shoulder-surfing in which authentication information is covertly obtained by peeking over the shoulder of a user as he/she completes the authentication sequence .
An Imperative Step in Tracking Data Theft via USB Devices . Owing to the increasing pace of occurrence of crimes in digital world , cyber forensic investigation is becoming a burning topic in the field of information security .
Today , as many organization and enterprises are beginning to adopt the IOT(internet of things),they all need for large amount of data to be accessed quickly , to be safe on cloud from attacker or insider then the security is also important mechanism to secure cloud data of an government organization or any IT-industry . Sometimes existing encryption data protection mechanisms failed in preventing data theft attacks from criminal attacker , especially from insider to the cloud provider . To provide security to cloud data from unauthorized access from malicious attacker we propose a different approach to securing data in cloud system by using decoy technology .
In recent years , the problem of data theft is becoming more and more serious . This paper provides a graph update method of data theft detection based on rough set DLD-RGU to prevent the leakage of sensitive data . This method builds a clustering model of sensitive text data by training samples , and then constructs a sensitive word graph structure , periodically calculates the importance of sensitive words and latent sensitive words to update the sensitive word graph , adapts to the change of incremental sensitive data , and improves the detection effect .
Along with the increasing level of criminal data theft that occurs , a good room security system is needed to maintain data security of a particular agency or organization . A good security system is a security system that can be monitored and controlled over long distances using the internet or better known as IoT ( Internet of Things ) .
Data and information leakage is one of the prevalent tribulations in today ’s internet world during transfer . Traditional algorithms are not enough to hide data/information theft . This is the reason behind developing number system oriented text Steganography for short messages .
Web Scraping may consider as data theft action , several researchers have introduced some approaches for addressing this issue . These solutions could solve the problem in partial ways and sometimes , solution can not be applicable with modern web techniques .
Due to this , most of them banned the use of USB device . In this paper we present a solution to this data theft problem which will automatically fetch & store the Unique ID ( Serial Number ) of mass storage USB device/Pen drive and keep record in database to monitor registered user/device as well as anonymous device . We do recognize the patter of all connected anonymous device all over the intranet and represent it in a graphical form .
Corporations need concrete comparisons between different tools in order to choose which is best suited for their needs . This thesis aims at comparing an anomaly detector with a signature detector in order to establish which is best suited to detect a data theft threat . The second aim of this thesis is to establish the influence of the training period length of an anomaly Intrusion Detection System ( IDS ) on its detection rate .
Increasing transmission of medical images across multiple user systems raises concerns for image security . Hiding watermark information in medical image data files is one solution for enhancing security and privacy protection of data .
In today 's world of digital communication , as technology progresses , there is more and more attention required on image security . Many visual cryptography algorithms have been suggested and digital watermarking in association with visual cryptography is also proposed for more image security . An image watermarking model based on progressive visual cryptography is proposed to decide optimal number of shares .
However , there are many differences in implementation especially for an integrated system like picture archiving and communication system ( PACS ) , and the infrastructure to deploy these security standards is often lacking . Over the past 6 years , members in the Image Processing and Informatics Laboratory , Childrens Hospital , Los Angeles/University of Southern California , have actively researched image security issues related to PACS and teleradiology . The paper summarizes our previous work and presents an approach to further research on the digital envelope ( DE ) concept that provides image integrity and security assurance in addition to conventional network security protection .
Authentication is one of the image security issues solved by hash function and another one issue is providing security for illegal manipulation of digital image is solved by an encryption . An optimized hybrid image security mechanism for authentication and secrecy of images by means of Particle Swarm Optimization ( PSO ) in daubechies4 transform is illustrated in this paper .
We address image security issues by proposing a scheme for watermarking images or video at the camera . Each watermark is unique and identifies the owner , camera , and frame number .
The experimental results show that the auto-correlation , cross-correlation , run-length and balance characteristics of the encryption sequences generated by this algorithm are excellent . On the premise of avoiding the complex operation of high-dimensional chaos mapping , the encryption intensity and cracking difficulty of the system are greatly improved , and the problem of image security requirements under different conditions is effectively solved .
However , must of the existing SSGs RL models feature strong assumptions including that the defenders and attackers have perfect information about the behavioral model , producing inconsistencies . We address these problems proposing a practical framework for representing real-world security problems by empowering SSGs with a RL approach considering incomplete state information . The players ’ behavior and rationality are restricted to a class of partially observed Markov games ( POMG ) .
Despite over four decades of security research , the limited ability for existing access control mechanisms to generically enforce policy persists . While researchers , practitioners and policy makers have specified a large variety of access control policies to address real-world security issues , only a relatively small subset of these policies can be enforced through off-the-shelf technology , and even a smaller subset can be enforced by any one mechanism . In this paper , we propose an access control framework , referred to as the Policy Machine ( PM ) that fundamentally changes the way policy is expressed and enforced .
In this paper we discuss how a research-orientated student red-team provides free security assessments to organizations within the community . Such activities provide students with valuable skills and knowledge in dealing with real-world security issues . We present our approach to implementing such a team as a permanent fixture within our IT program 's Cyber Security Research Lab and discuss the mutual benefits that such an offering presents .
Until twenty years ago , the application of game theory ( GT ) was mostly limited to toy examples . Today , as a result of major technological and algorithmic advances , researchers use game-theoretical models to motivate complex security decisions relating to real-life security problems . This requires models that are an accurate reflection of reality .
We empirically demonstrate the significant superiority of our method over existing methods , such as the predictive-coding method and the hypothesis testingmethod , in terms of detection accuracy and computational efficiency for artificial data sets . We further apply our method into real security issues called malware detection . We empirically demonstrate that our method is able to detect unseen security incidents at significantly early stages .
With the widespread use of technology , companies of all sizes have benefited from the use of resources and technologies on the Internet . On the other hand , real security threats are increasing problems and intrusion detection systems ( IDS ) can help protect external and internal organizations and provide network security . The intrusion detection system only monitors network traffic and informs the system administrator for unusual activity .
This paper presents the author 's experience in developing an undergraduate course on security auditing . It discusses the course design , procedures , and a series of innovative laboratory projects that are aimed to simulate real-world security concerns . This course is one of the core courses of the newly established B. S. in security program in the Department of Network , Security , and Systems Administration at RIT .
Security is a bottleneck of EC(electronic commerce ) development , and EC security experiment also an im-portant part of EC security teaching . The article discusses how to take concerted action with the curricular teaching of EC security and carry out the setting and research of experimental curriculum , and analyzes and summarizes the EC security experiment content and teaching effectiveness in the teaching process . Through the experiment , the students have a fairly complete and in-depth understanding of the EC security knowledge , could apply the security contents in the EC process￡?thus raising their practical application ability of EC security technology .
Derived numerical expressions were verified using both C programs and HDL ( Hardware Description Language ) . Proposed method of EC scalar point multiplication can be utilized in many EC security applications for handling efficient and fast calculations .
The use of information technology to transmit and process business information has inevitably brought the defects and shortcomings of its own into the field of EC.The security issue is becoming the primary factor restricting the development of electronic commerce , and is the most important issues related to EC system can be run successfully . EC security issues can be basically divided into two parts , namely , computer network security and business transaction security . The paper discusess these two parts and gives the countermeasures in the last .
The security of virtual machines ( VM ) is one of such critical challenges for cloud computing . However , existing techniques for VM security , such as Terra , tboot and TXT , mainly focus on the security of VM running environment . There is a lack of protection mechanism for VMs themselves in clouds .
Virtual machines ( VMs ) in cloud computing need to be protected , since they are hosting critical data . In this paper , we propose trusted model for VM security in cloud computing . In our model , we encrypt the VM image and store in cloud , and it stops inside attackers from violating the confidentiality .
The security of such VMs is critical to IaaS security . Many studies have been done on cloud computing security issues , but research into VM security issues , especially regarding VM network traffic anomalous behavior detection , remains inadequate . More and more studies show that communication among internal nodes exhibits complex patterns .
Μελέτη μεθόδων ασφαλούς μετάδοσης πολυμέσων σε σύγχρονα ασυρματικά δίκτυα Effective and Flexible Distributed scheme in Cloud Computing Trade-offs in a Secure Jini Service Architecture An energy/security scalable encryption processor using an embedded variable voltage DC/DC converter Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related features Enhanced security for mobile agent systems Representing levels of abstraction to facilitate the secure multidimensional modeling Mutual Authentication Protocol for RFID System Specification and Verification of Workflows with Rbac Mechanism and Sod Constraints USIS: A Unified Framework for Secured Information System Lifecycle An Efficient Event Detection Model that Extends the Lifetime of Wireless Sensor Networks Event Based Data Gathering in Wireless Sensor Networks Integrale Betrachtung zur systematischen Definition von 3D Bildgebungssystemen in der Produktionstechnik FingerPass: Finger Gesture-based Continuous User Authentication for Smart Homes Using Commodity WiFi Research of eID Mobile Identity Authentication Method Catch me if you can: Using self-camouflaging images to strengthen graphical passwords The Research of Universities Office Automation System Based on Domino/Notes Scalable Digital Architecture of a Liquid State Machine Providing method and system of mobile phone client-side location services A Lightweight Privacy-Preserving OAuth2-Based Protocol for Smart City Mobile Apps Ridge-Based Fingerprint Matching Using Hough Transform User-Based Authentication for Native Applications The Systematic Survey for IP Traceback Methods Classification of DOS Attacks Using Visualization Technique Prevention and Mitigation of DNS based DDoS attacks in SDN Environment A Mitigation Technique for DoS Attack in Wireless Network Based Gradient Matrix and Firefly A layered and aggregated queuing network simulator for detection of abnormalities Preventing distributed denial of service attacks and data security Detection and Prevention of ICMP Flood DDOS Attack Performance Evaluation of Protocols for Secure Routing in Manets Probabilistic Interference in Restrictive Systems Network intrusion detection system model based on data mining Detection of denial of service attacks by domination graph application in wireless sensor networks Deprecating the Generation of IPv6 Atomic Fragments On Simple Network Management Protocol (SNMP) Proposal of a Puzzle Authentication Method with Shoulder-surfing Attack Resistance Windows Registry Forensics : An Imperative Step in Tracking Data Theft via USB Devices Data Security System in Cloud by Using Fog Computing and Data Mining A Graph Updating Method of Data Theft Detection Based on Rough Set Sistem Keamanan Ruangan Berbasis Internet Of Things Dengan Menggunakan Aplikasi Android Number System Oriented Text Steganography in Various Language for Short Messages Prevent XPath and CSS Based Scrapers by Using Markup Randomizer Secured use of USB over the Intranet with anonymous device Identification Analysis and evaluation of network intrusion detection methods to uncover data theft Visual quality assessment of watermarked medical images Secure visual secret sharing scheme for color images using visual cryptography and digital watermarking Medical image security in a HIPAA mandated PACS environment. OPTIMIZED H YBRID SECURITY M ECHANISM FOR IMAGE AUTHENTICATION AND SECRECY USING PSO A Unique Watermark for Every Image Analysis of Random Mixed Image Encryption Algorithm Based on QoS Repeated Stackelberg security games: Learning with incomplete state information The Policy Machine: A novel architecture and framework for access control policy specification and enforcement Risks, rewards and raising awareness: training a cyber workforce using student red teams Game Theory and Security: Recent History and Future Directions Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding Hybrid Intrusion Detection System using K-means and K-Nearest Neighbors Algorithms Security auditing course development EC Security Experimental Teaching A Binary Redundant Scalar Point Multiplication in Secure Elliptic Curve Cryptosystems Analyse on EC Security Problems and Countermeasures Towards a Trusted Launch Mechanism for Virtual Machines in Cloud Computing Trusted Model for Virtual Machine Security in Cloud Computing An anomalous behavior detection model in cloud computing
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