In this paper , a failure model of Cyber-Physical systems and an attack model are proposed . We divide the attacks into three kinds : simultaneous attack , sequential attack and composite attack . Since the behaviours of radar in the traditional design of the jammer-radar scenario are always static , it is easy to create a subjective or local optimal jamming effect . In order to dynamically analyse the execution process of a complete jamming radar mission , this work establishes an equivalent attack-defence game in which the radar is regarded as a defence decision agent , and the jammer is an attack decision agent . The attributes of the game 's players , the rules of the game , and the conditions for the end of the game are set clearly by setting reasonable parameters . We introduce nine attack refinement principles stating whether the extension stays the same if we add a single attack , and we show that the grounded extension satisfies five of them . We define also an extension called acyclic attack refinement by adding a loop condition , and we show that the grounded extension satisfies one of the acyclic attack refinement principles . Moreover , we define an extension called conditional attack refinement taking alternative attackers into account , and we give an example of a conditional attack refinement principle satisfied by the grounded extension . Distributed denial of service ( DDoS ) is one of the most persecution network attack techniques to be confronted in recent years . From the definition of DDoS , thousands of network attacks must initiate simultaneously and continuously to achieve a successful DDoS attacking . With the development of data mining learning algorithms , such as One-class SVM , Fuzzy Clustering , K-means , Apriori and so on , they are more and more widely used in the field of security log analysis . For example , the combination of time series algorithm and association algorithm can be used to mine frequent item sets in transaction databases , and then generate association rules to discover the intrinsic relationship of security logs and find out the potential attack patterns of hackers . The combination of dimensionality reduction algorithm and clustering algorithm can speed up the distinction between normal log data and abnormal log data , and improve the efficiency . In addition , we perform comparison of our proposed power attack with other attacks such as man-in-the-middle attack and jamming attack . Furthermore , we perform extensive experimentation using both ns-2 simulator and real deployment to investigate the applicability and the effectiveness of our exposed attack model for the real-time system for detecting missing rail blocks . We formally define QPUFs , encapsulating all requirements of classical PUFs as well as introducing new ones inherent to the quantum setting such as testability . We develop a quantum game-based security framework for our analysis and define a new class of quantum attacks , called General Quantum Emulation Attack . This class of attacks exploits previously captured valid challenge-response pairs to emulate the action of an unknown quantum transformation on new input . Conventional network attack detection techniques work at the network protocol layers , whereas IoT-ED with HT can lead to the peculiar manifestation of attack at the physical and/or firmware level . On the other hand , in the IC design , most of the HT-based attack detection techniques require design time intervention , which is expensive for many of the IoT-ED and can not guarantee 100 % immunity . The argument in this paper is that the health of modern IoT-ED requires a final line of defense against possible HT-based attacks that goes undetected during IC design and test . The robustness of these models , however , has not yet been studied . In this paper , we propose a sparse feature-space adversarial attack method against deep saliency models for the first time . The proposed attack only requires a part of the model information , and is able to generate a sparser and more insidious adversarial perturbation , compared to traditional image-space attacks . This paper proposes a kind of intrusion detection model based on Back Propagation(BP ) neural network and feature selection mechanism . It can effectively detect several types of attacks after the process of feature selection and attack feature training . The experiments on classic KDD 1999 dataset demonstrate the model is accurate and effective . They also performed a large - scale optimization based on minimax search regulated by expert game logs ; this formed part of the Bonanza engine that won the 2013 World Computer Shogi Championship . Giraffe evaluated positions by a neural network that included mobility maps and attack and defend maps describing the lowest valued attacker and defender of each square . It was trained by self - play using TD ( leaf ) , also reaching a standard of play comparable to international masters . This thesis focus on web security and countermeasures against unsecured login system , directory traversal attack , SQL injection , hidden field manipulation and cross-site scripting . Nevertheless , this range of attack techniques will not dramatically lose relevance , since many developers still write their SQL queries themselves , use concatenation , and thereby are likely to destroy any protective mechanisms provided by the frameworks and other mechanisms . The rise of client-side databases will be a breath of fresh air for SQL injection techniques and thereby obfuscation as well . This paper presents an optimum tuning method utilizing the application firewall widely used by the modern enterprises . We explore several attacking methods commonly used nowadays , such as the signature of cross-site scripting and SQL injection , and introduce a new method to setup the parameters of the device to strengthen the defense . To enhance the security of the back-end application servers , we use keyword filtering and re-treatment to rule out the blacklist , and to adjust the system settings so that it can effectively block the assaults or reduce the possibility of successful attacks . The invention discloses a method and an apparatus for detecting structured query language ( SQL ) injection attack . The method and the apparatus for detecting the SQL injection attack are used for improving the detection efficiency of the SQL injection attack and reducing the false and missing alarm rate . The method for detecting the SQL injection attack comprises the steps : acquiring a to-be-detected SQL statement , analyzing the to-be-detected SQL statement to obtain morphologies and a morphology sequence contained in the to-be-detected SQL statement , and transforming the to-be-detected SQL statement into a to-be-detected character string according to a corresponding relation between each morphology and a specified character or a specified character string as well as the morphologies and the morphology sequence contained in the to-be-detected SQL statement ; matching the to-be-detected character string with the character string in a character string library corresponding to a prestored SQL injection ( SQLI ) statement ; and determining that the SQL injection attack exists when the to-be-detected character string is matched with any character string in the character string library corresponding to the prestored SQLI statement . Backend database is use to retrieved data for all web application and should be readily available for all the users around the world . SQL injection attack is one of the most serious security vulnerabilities in Web application system . Most of these vulnerabilities are caused by lack of input validations and SQL parameters . Hence , this paper proposes a mechanism to identify invalid SQL statements , to analyze the query for invalid non SQL key words , and to customize the captured errors . This mechanism is different from others by means of separation of the main scripting code and SQL injection code . Hence , this paper ( SQLIVD-AOP ) proposes a mechanism to intercept SQL statements without any modification of an application using Aspect Oriented Programming and to analyze the query for its legitimacy , and to customize the errors . This mechanism is different from others by query interception and separation of the main scripting code with SQL injection code . The SQL validations and injection detections code are implemented by means of web services . SQL Injection on Different Technologies Chapter 6 . SQL Injection Testing Techniques Chapter 7 . Defenses Chapter 8 . It is a practical strategy to avoid bugs , to construct safe codes for database accessing and to share priority of data base management . Designing strategy and tools provided by ASP.Net and SQL Server are able to prevent attack of SQL injecting successfully , which build a fire wall for the net security . For illustration , SQL injection attack examples are utilized to show the performance of the honey pot system . The results show that the honey pot system can intercept all database requests and increase the efficiency of SQL injection analysis with the attack graphs . This system provides an efficient and timely detection on the new SQL injection and helps security personnel quickly analyzing the new SQL injection with the attack graph The security of the Management Information System is the most important problems researched and concerned by the MIS developers and users . The probable security problems and the corresponding detailed security strategies are presented from the software architecture , database system security and network security , especially for the SQL injection intrusion and its defense strategies . There is known approaches to protect Web applications against SQL injection attacks in the article . To improve the Web software security it is developed defense mechanism that protects Web resources from SQL injection performing . To implement this software it is used PHP , JavaScript and formal language theory known as regular expression . In this paper a new optimal design of soccer robot control system which is based on mechanical analyses and calculations on the pressure and transmutation states of chip kick mechanics , this new control system with high precision for speed control and high dynamic quality . SQL Injection Scenario : The concept of injection attacks is to inject malicious code so as to alter the intent of original query [ 1 - 6 ] . Injection flaws occur when untrusted data are sent to an interpreter as a part of a command or query , then attacker 's hostile data can trick the interpreter and execute unintended commands or accessing data without proper permission . Return-oriented programming is the predominant code-reuse attack , where short gadgets or borrowed chunks of code ending in a RET instruction can be discovered in binaries . A chain of ROP gadgets placed on the stack can permit control flow to be subverted , allowing for arbitrary computation . A key metric used in these works to demonstrate improved security is code reuse gadget count reduction . The use of this metric is based on the prevailing idea that reducing the number of gadgets available in a software package reduces its attack surface and makes mounting a gadget-based code reuse attack such as return-oriented programming more difficult for an attacker . In this paper , we challenge this idea and show through a variety of realistic debloating scenarios the flaws inherent to the gadget count reduction metric . As the proposition of the idea of Return-Oriented Programming ( ROP ) , programs will face new challenges from viruses , and many of current defense measures will be ineffective . With fine granularity , covert virus features , deliberate and sophisticated construction and rare static characteristics , ROP attack can circumvent many traditional defense measures and its variant Jump-Oriented Programming ( JOP ) attack makes lots of current special ROP defense tools lose their effects . Buffer overflow is a well-known problem that remains a threat to software security . With the advancement of code-reuse attacks and return-oriented programming ( ROP ) , it becomes problematic to protect a program from being compromised . Several defenses have been developed in an attempt to defeat code-reuse attacks . The paper describes the concept and implementation of an attack technique , targeting an Internet-connected device based on Arduino family board and modules with an ATmega microcontoller . Due to Harvard-like architecture of the microcontroller , the attack uses return-oriented programming principle , utilizing the pieces of firmware already contained in the memory of target device . We show that the routines present in the device are sufficient to convey a successful attack and change the device operation in the presence of buffer overflow backdoor to the firmware . This vector is generated automatically and used as a mean to detect worms with low cost . In addition , we construct a cheap worm detection system by using the proposed method as the first stage analysis of conventional IDS . We evaluate the proposed scheme through experiments and present its performance . How to quickly eliminate the Internet worms using partial immunization becomes a big issue for sustaining Internet infrastructure smoothly . This paper addresses this issue by presenting a novel worm attack model through incorporating a saturated incidence rate and a partial immunization rate , named SVEIR model . Using the basic reproduction number , we derive the global stability of the infection-free equilibrium and local stability of the unique endemic equilibrium . Recent active worm propagation events show that active worms can spread in an automated fashion and flood the Internet in a very short period of time . In this paper , we address the issue by analyzing the impacts of worm attack approaches on Internet worm propagation . In particular , we analyze four worm attack approaches with considering following attack strategies : pure random-based/ PlP ( peer-to-peer ) hitlist-based strategies for victim selection and cooperation-based/ non-cooperation-based strategies for worm instance coordination . The system can alert worm scan activities and suspicious infected external network hosts through monitoring connect intensity , port similarity and connect failure rate of the external network hosts connecting the hosts of local network , and defense worm through detecting and discarding the worm attack packets from the suspicious infected exterior hosts . In order to improve system efficiency and reduce the number of interference with normal activity , worm attack detection consists of source IP trace and worm features match strategy . Worm propagation model based on this system was designed and the effectiveness of the system was verified through the simulation experiments . Based on analysis of the principle of Netflow and the behaviour characteristics of worm attack , a new worm-attack detection method based on Netflow is proposed . The encoding on detection module of the traffic and characteristic anomalies is implemented , the corresponding experiment environment established , and the simulation of network behavior in occurrence of worm virus RedCode also done . Since manual Internet worm signature extraction takes a long time while automatically pattern-based analysis causes high false negatives and false positives , this paper proposes a new worm signature extraction method based on worm attack model and semantic analysis . It contributes a definition of worm attacking model —— OSJUMP model , proves the preciseness of worm signature based on worm attacking model , and presents a semantic analysis algorithm for automatically extract invariable parts as signature . The evaluation demonstrates that the algorithm produces signature as the same as the one provided by vendors . The work is based on the Slammer and Witty worm characteristics and employs the widely used Susceptible-Infected biological model . The epidemiological modeling shows that the SI model can be used to represent the virulence of random scanning worms and to quantify the effectiveness of worm countermeasures . At present there are some worm intrusion detection systems , primarily for a single LAN or with hardware router environment , which are not applicable for large-scale network detection or have high false alarm rate by using only worm propagation characteristics for detection . This paper analyzed worm non-linear propagation models and drew out the worm transmission curves . We examine techniques for detecting worm propagation in a network using flow-level data . While worm exploits may be difficult to detect due to the wide range of payloads , the propagation phase of a worm is generally much easier to recognize . We examine this step and present one simple method for detecting network worms with no previously known signatures . Pada file log Honeyd terdapat beberapa informasi penting yang nantinya akan dilakukan analisa tentang serangan-serangan yang dilakukan oleh Attacker , hal ini untuk membandingkan traffic normal dan trafficserangan . Kesimpulan yang diperoleh dalam penelitian skripsi ini bahwa Honeyd mampu untuk mendeteksi serangan DDoS ( Distributed Denial of Service ) HTTP Flood dan SYN Flood secara real timeyang dilakukan oleh Attackerberdasarkan pada jumlah paket dan besar paket dengan persentase akses normal 2,78 % , sedangkan serangan DDoS HTTP Flooddan SYN Flooddengan persentase 97,21 % . Distributed Reflection Denial of Service is the recent iteration in the series of Denial of Service attacks . It works similar to Distributed Denial of Service , in that it uses many sources to attack one victim and the attacker hides behind the zombies . In this paper , we concentrate on assisting the nodes of network during the DRDoS attack , by using detection algorithm to detect the attack whenever a suspicious flow is noticed and then by proper analysis of the network we can find the attack free path which can be used by the nodes in the network . Since there is no centralized control , these nodes are prone to various attacks on network . Our main focus is expanding the effect of Distributed Denial of Service ( DDoS ) in routing packets , packet loss rate , end to end delay . Emphasizing on these factors we formulate a solution to figurea secure IDS to detect this attack and block it . A Distributed Denial-of-Service attack is an attempt to prevent legitimate users from accessing information or services . In fact , it is a battle of resources between the defender and the attacker . The overwhelming of the request flow beyond the target server capacity leads to the service denial to the legitimate users . Because of the server ’s oversized potential , the act of flooding requests beyond the server capacity is carried by the malicious attackers from distributed environment called distributed denial-of-service attack . Hence , applying the knowledge gained from the findings of previous request distributions research works seems to be the suitable strategy to cease the DDOS attacks . Nevertheless , as in any complex system , there are implementation and policy compromises which lead to security vulnerabilities . This paper exploits such vulnerabilities to implement a suite of attacks , consisting of Address Resolution Protocol ( ARP ) cache poisoning , Man in the Middle , a firewall and access control bypassing port scan called a Phantom Host Scan , and a Distributed Denial of Service attack called a Phantom Storm which induces the participation of legitimate hosts . These attacks were successfully implemented in a Floodlight controlled network . Also , the existing certified email protocols do not prevent the distributed denial of service attack by malicious senders . We propose a new certified email protocol which provides the fair exchange for all senders , called the undeniable fairness , and distributed denial of service protection . With the DDoS ( distributed denial of service ) traffic which was implemented using depleted bandwidth is filtered by routers in high speed network , it is impossible for the victim to work on the individual level of on-going traffic flows . The scheme establishes the source and destination IP address database by observing the normal traffic and storages it in a Bloom Filter table . With the DDoS ( distributed denial of service ) traffic which was implemented using depleted bandwidth is filtered by routers in high speed network , it is impossible for the victim to work on the individual level of on-going traffic flows . The scheme establishes the source and destination IP address database by observing the normal traffic and storages it in a Bloom Filter table . The reason is that Distributed Denial of Service attacks are offered as a service , namely Booters , for less than 10 US dollars . As Booters offer a Distributed Denial of Service service that is paid , Booters often make use of Transport Layer Security certificates to appear trusted and hide themselves inside of encrypted traffic in order to evade detection and bypass critical security controls . In addition , Booters use Transport Layer Security certificates to ensure secure credit card transactions , data transfer and logins for their customers . In this paper , an overview of distributed denial-of-service problem and Inherent vulnerabilities in the Internet architecture are provided . Real distributed denial-of-service incidents with their financial impact are critically analyzed and finally need for a comprehensive distributed denial-of-service solution is highlighted . To optimize the quantity of the SYN semi-connection and the connecting time , we adopt running water technology in the proxy server . This method prevents the attacking of the distributed denial service effectively . And it also optimizes the visiting management and improves the visiting efficiency of the server . Distributed Service Denial ( DDoS ) is a type of network attack , which each year increases in volume and intensity . DDoS attacks also form part of the major types of cyber security threats so far . Indigo , Air India , Jet Airways by simulating random attack and targeted attack on the separate airlines networks . Random attack is based on the removal of random airports from the network and targeted attack is based on the removal of important airports based on the node attributes like degree , betweenness . In addition , we also notice that although the distribution of Router network and BA network both satisfy the power law distribution , they show different structural vulnerability . The random attack has a better effect than the asymmetric information attack with nonzero node detection degree and attack range . Router network has the same structural vulnerability with ER network , which means Router network also has randomness . We suggest a recommender algorithm to separate ratings generated by users into normal ratings and outlier ratings , and to minimize the effects of malicious users . Specifically , our algorithm first ensures a stable RS against three kinds of attack models ( Random attack , Average attack , and Bandwagon attack ) which are the main recent security issues in RS . To prove the performance of the method of suggestion , we conducted performance analysis on real world data that we crawled . Through numerical results , we find the mutual effects between the network security situation and the adversary ’s strategy decision . Specifically , the selective attack strategy can help the adversary accumulate more attack resource compared to the random attack strategy . The local preferential redistribution rule of the load was proposed , and the information system network node breakdown and the number of effective nodes were used to reflect the resisting ability of information system to risk propagation . Two attacking strategies , deliberate attacking with known network information and random attacking without network information , were designed . Information system security risk propagation under conditions of different node breakdown was analyzed through simulation . In this paper , we show that it is also effective against random Gaussian fingerprint . Furthermore , we develop new randomised attacks which counter the effect of the decoder preprocessing of Zhao et al. We then adopt a principled approach based on the characteristic time of a content in a cache to design an optimized attack strategy . Our experiments show that the proposed attack strategy outperforms the randomized attack with the same attack rate . This work is focused on the RJ on OFDM modulations . We propose a new RJ strategy , called Non Uniform Power Allocation Pilot Tones Jamming ( PTJ ) , and show , through analysis and Monte-Carlo simulations , that it presents improved performances with respect to other existing conventional RJ attack , such as barrage jamming ( BJ ) and PTJ , known in the open literature .
In this paper , a failure model of Cyber-Physical systems and an attack model are proposed . We divide the attacks into three kinds : simultaneous attack , sequential attack and composite attack .
Since the behaviours of radar in the traditional design of the jammer-radar scenario are always static , it is easy to create a subjective or local optimal jamming effect . In order to dynamically analyse the execution process of a complete jamming radar mission , this work establishes an equivalent attack-defence game in which the radar is regarded as a defence decision agent , and the jammer is an attack decision agent . The attributes of the game 's players , the rules of the game , and the conditions for the end of the game are set clearly by setting reasonable parameters .
We introduce nine attack refinement principles stating whether the extension stays the same if we add a single attack , and we show that the grounded extension satisfies five of them . We define also an extension called acyclic attack refinement by adding a loop condition , and we show that the grounded extension satisfies one of the acyclic attack refinement principles . Moreover , we define an extension called conditional attack refinement taking alternative attackers into account , and we give an example of a conditional attack refinement principle satisfied by the grounded extension .
Distributed denial of service ( DDoS ) is one of the most persecution network attack techniques to be confronted in recent years . From the definition of DDoS , thousands of network attacks must initiate simultaneously and continuously to achieve a successful DDoS attacking .
With the development of data mining learning algorithms , such as One-class SVM , Fuzzy Clustering , K-means , Apriori and so on , they are more and more widely used in the field of security log analysis . For example , the combination of time series algorithm and association algorithm can be used to mine frequent item sets in transaction databases , and then generate association rules to discover the intrinsic relationship of security logs and find out the potential attack patterns of hackers . The combination of dimensionality reduction algorithm and clustering algorithm can speed up the distinction between normal log data and abnormal log data , and improve the efficiency .
In addition , we perform comparison of our proposed power attack with other attacks such as man-in-the-middle attack and jamming attack . Furthermore , we perform extensive experimentation using both ns-2 simulator and real deployment to investigate the applicability and the effectiveness of our exposed attack model for the real-time system for detecting missing rail blocks .
We formally define QPUFs , encapsulating all requirements of classical PUFs as well as introducing new ones inherent to the quantum setting such as testability . We develop a quantum game-based security framework for our analysis and define a new class of quantum attacks , called General Quantum Emulation Attack . This class of attacks exploits previously captured valid challenge-response pairs to emulate the action of an unknown quantum transformation on new input .
Conventional network attack detection techniques work at the network protocol layers , whereas IoT-ED with HT can lead to the peculiar manifestation of attack at the physical and/or firmware level . On the other hand , in the IC design , most of the HT-based attack detection techniques require design time intervention , which is expensive for many of the IoT-ED and can not guarantee 100 % immunity . The argument in this paper is that the health of modern IoT-ED requires a final line of defense against possible HT-based attacks that goes undetected during IC design and test .
The robustness of these models , however , has not yet been studied . In this paper , we propose a sparse feature-space adversarial attack method against deep saliency models for the first time . The proposed attack only requires a part of the model information , and is able to generate a sparser and more insidious adversarial perturbation , compared to traditional image-space attacks .
This paper proposes a kind of intrusion detection model based on Back Propagation(BP ) neural network and feature selection mechanism . It can effectively detect several types of attacks after the process of feature selection and attack feature training . The experiments on classic KDD 1999 dataset demonstrate the model is accurate and effective .
They also performed a large - scale optimization based on minimax search regulated by expert game logs ; this formed part of the Bonanza engine that won the 2013 World Computer Shogi Championship . Giraffe evaluated positions by a neural network that included mobility maps and attack and defend maps describing the lowest valued attacker and defender of each square . It was trained by self - play using TD ( leaf ) , also reaching a standard of play comparable to international masters .
This thesis focus on web security and countermeasures against unsecured login system , directory traversal attack , SQL injection , hidden field manipulation and cross-site scripting .
Nevertheless , this range of attack techniques will not dramatically lose relevance , since many developers still write their SQL queries themselves , use concatenation , and thereby are likely to destroy any protective mechanisms provided by the frameworks and other mechanisms . The rise of client-side databases will be a breath of fresh air for SQL injection techniques and thereby obfuscation as well .
This paper presents an optimum tuning method utilizing the application firewall widely used by the modern enterprises . We explore several attacking methods commonly used nowadays , such as the signature of cross-site scripting and SQL injection , and introduce a new method to setup the parameters of the device to strengthen the defense . To enhance the security of the back-end application servers , we use keyword filtering and re-treatment to rule out the blacklist , and to adjust the system settings so that it can effectively block the assaults or reduce the possibility of successful attacks .
The invention discloses a method and an apparatus for detecting structured query language ( SQL ) injection attack . The method and the apparatus for detecting the SQL injection attack are used for improving the detection efficiency of the SQL injection attack and reducing the false and missing alarm rate . The method for detecting the SQL injection attack comprises the steps : acquiring a to-be-detected SQL statement , analyzing the to-be-detected SQL statement to obtain morphologies and a morphology sequence contained in the to-be-detected SQL statement , and transforming the to-be-detected SQL statement into a to-be-detected character string according to a corresponding relation between each morphology and a specified character or a specified character string as well as the morphologies and the morphology sequence contained in the to-be-detected SQL statement ; matching the to-be-detected character string with the character string in a character string library corresponding to a prestored SQL injection ( SQLI ) statement ; and determining that the SQL injection attack exists when the to-be-detected character string is matched with any character string in the character string library corresponding to the prestored SQLI statement .
Backend database is use to retrieved data for all web application and should be readily available for all the users around the world . SQL injection attack is one of the most serious security vulnerabilities in Web application system . Most of these vulnerabilities are caused by lack of input validations and SQL parameters .
Hence , this paper proposes a mechanism to identify invalid SQL statements , to analyze the query for invalid non SQL key words , and to customize the captured errors . This mechanism is different from others by means of separation of the main scripting code and SQL injection code .
Hence , this paper ( SQLIVD-AOP ) proposes a mechanism to intercept SQL statements without any modification of an application using Aspect Oriented Programming and to analyze the query for its legitimacy , and to customize the errors . This mechanism is different from others by query interception and separation of the main scripting code with SQL injection code . The SQL validations and injection detections code are implemented by means of web services .
SQL Injection on Different Technologies Chapter 6 . SQL Injection Testing Techniques Chapter 7 . Defenses Chapter 8 .
It is a practical strategy to avoid bugs , to construct safe codes for database accessing and to share priority of data base management . Designing strategy and tools provided by ASP.Net and SQL Server are able to prevent attack of SQL injecting successfully , which build a fire wall for the net security .
For illustration , SQL injection attack examples are utilized to show the performance of the honey pot system . The results show that the honey pot system can intercept all database requests and increase the efficiency of SQL injection analysis with the attack graphs . This system provides an efficient and timely detection on the new SQL injection and helps security personnel quickly analyzing the new SQL injection with the attack graph
The security of the Management Information System is the most important problems researched and concerned by the MIS developers and users . The probable security problems and the corresponding detailed security strategies are presented from the software architecture , database system security and network security , especially for the SQL injection intrusion and its defense strategies .
There is known approaches to protect Web applications against SQL injection attacks in the article . To improve the Web software security it is developed defense mechanism that protects Web resources from SQL injection performing . To implement this software it is used PHP , JavaScript and formal language theory known as regular expression .
In this paper a new optimal design of soccer robot control system which is based on mechanical analyses and calculations on the pressure and transmutation states of chip kick mechanics , this new control system with high precision for speed control and high dynamic quality . SQL Injection Scenario : The concept of injection attacks is to inject malicious code so as to alter the intent of original query [ 1 - 6 ] . Injection flaws occur when untrusted data are sent to an interpreter as a part of a command or query , then attacker 's hostile data can trick the interpreter and execute unintended commands or accessing data without proper permission .
Return-oriented programming is the predominant code-reuse attack , where short gadgets or borrowed chunks of code ending in a RET instruction can be discovered in binaries . A chain of ROP gadgets placed on the stack can permit control flow to be subverted , allowing for arbitrary computation .
A key metric used in these works to demonstrate improved security is code reuse gadget count reduction . The use of this metric is based on the prevailing idea that reducing the number of gadgets available in a software package reduces its attack surface and makes mounting a gadget-based code reuse attack such as return-oriented programming more difficult for an attacker . In this paper , we challenge this idea and show through a variety of realistic debloating scenarios the flaws inherent to the gadget count reduction metric .
As the proposition of the idea of Return-Oriented Programming ( ROP ) , programs will face new challenges from viruses , and many of current defense measures will be ineffective . With fine granularity , covert virus features , deliberate and sophisticated construction and rare static characteristics , ROP attack can circumvent many traditional defense measures and its variant Jump-Oriented Programming ( JOP ) attack makes lots of current special ROP defense tools lose their effects .
Buffer overflow is a well-known problem that remains a threat to software security . With the advancement of code-reuse attacks and return-oriented programming ( ROP ) , it becomes problematic to protect a program from being compromised . Several defenses have been developed in an attempt to defeat code-reuse attacks .
The paper describes the concept and implementation of an attack technique , targeting an Internet-connected device based on Arduino family board and modules with an ATmega microcontoller . Due to Harvard-like architecture of the microcontroller , the attack uses return-oriented programming principle , utilizing the pieces of firmware already contained in the memory of target device . We show that the routines present in the device are sufficient to convey a successful attack and change the device operation in the presence of buffer overflow backdoor to the firmware .
This vector is generated automatically and used as a mean to detect worms with low cost . In addition , we construct a cheap worm detection system by using the proposed method as the first stage analysis of conventional IDS . We evaluate the proposed scheme through experiments and present its performance .
How to quickly eliminate the Internet worms using partial immunization becomes a big issue for sustaining Internet infrastructure smoothly . This paper addresses this issue by presenting a novel worm attack model through incorporating a saturated incidence rate and a partial immunization rate , named SVEIR model . Using the basic reproduction number , we derive the global stability of the infection-free equilibrium and local stability of the unique endemic equilibrium .
Recent active worm propagation events show that active worms can spread in an automated fashion and flood the Internet in a very short period of time . In this paper , we address the issue by analyzing the impacts of worm attack approaches on Internet worm propagation . In particular , we analyze four worm attack approaches with considering following attack strategies : pure random-based/ PlP ( peer-to-peer ) hitlist-based strategies for victim selection and cooperation-based/ non-cooperation-based strategies for worm instance coordination .
The system can alert worm scan activities and suspicious infected external network hosts through monitoring connect intensity , port similarity and connect failure rate of the external network hosts connecting the hosts of local network , and defense worm through detecting and discarding the worm attack packets from the suspicious infected exterior hosts . In order to improve system efficiency and reduce the number of interference with normal activity , worm attack detection consists of source IP trace and worm features match strategy . Worm propagation model based on this system was designed and the effectiveness of the system was verified through the simulation experiments .
Based on analysis of the principle of Netflow and the behaviour characteristics of worm attack , a new worm-attack detection method based on Netflow is proposed . The encoding on detection module of the traffic and characteristic anomalies is implemented , the corresponding experiment environment established , and the simulation of network behavior in occurrence of worm virus RedCode also done .
Since manual Internet worm signature extraction takes a long time while automatically pattern-based analysis causes high false negatives and false positives , this paper proposes a new worm signature extraction method based on worm attack model and semantic analysis . It contributes a definition of worm attacking model —— OSJUMP model , proves the preciseness of worm signature based on worm attacking model , and presents a semantic analysis algorithm for automatically extract invariable parts as signature . The evaluation demonstrates that the algorithm produces signature as the same as the one provided by vendors .
The work is based on the Slammer and Witty worm characteristics and employs the widely used Susceptible-Infected biological model . The epidemiological modeling shows that the SI model can be used to represent the virulence of random scanning worms and to quantify the effectiveness of worm countermeasures .
At present there are some worm intrusion detection systems , primarily for a single LAN or with hardware router environment , which are not applicable for large-scale network detection or have high false alarm rate by using only worm propagation characteristics for detection . This paper analyzed worm non-linear propagation models and drew out the worm transmission curves .
We examine techniques for detecting worm propagation in a network using flow-level data . While worm exploits may be difficult to detect due to the wide range of payloads , the propagation phase of a worm is generally much easier to recognize . We examine this step and present one simple method for detecting network worms with no previously known signatures .
Pada file log Honeyd terdapat beberapa informasi penting yang nantinya akan dilakukan analisa tentang serangan-serangan yang dilakukan oleh Attacker , hal ini untuk membandingkan traffic normal dan trafficserangan . Kesimpulan yang diperoleh dalam penelitian skripsi ini bahwa Honeyd mampu untuk mendeteksi serangan DDoS ( Distributed Denial of Service ) HTTP Flood dan SYN Flood secara real timeyang dilakukan oleh Attackerberdasarkan pada jumlah paket dan besar paket dengan persentase akses normal 2,78 % , sedangkan serangan DDoS HTTP Flooddan SYN Flooddengan persentase 97,21 % .
Distributed Reflection Denial of Service is the recent iteration in the series of Denial of Service attacks . It works similar to Distributed Denial of Service , in that it uses many sources to attack one victim and the attacker hides behind the zombies . In this paper , we concentrate on assisting the nodes of network during the DRDoS attack , by using detection algorithm to detect the attack whenever a suspicious flow is noticed and then by proper analysis of the network we can find the attack free path which can be used by the nodes in the network .
Since there is no centralized control , these nodes are prone to various attacks on network . Our main focus is expanding the effect of Distributed Denial of Service ( DDoS ) in routing packets , packet loss rate , end to end delay . Emphasizing on these factors we formulate a solution to figurea secure IDS to detect this attack and block it .
A Distributed Denial-of-Service attack is an attempt to prevent legitimate users from accessing information or services . In fact , it is a battle of resources between the defender and the attacker .
The overwhelming of the request flow beyond the target server capacity leads to the service denial to the legitimate users . Because of the server ’s oversized potential , the act of flooding requests beyond the server capacity is carried by the malicious attackers from distributed environment called distributed denial-of-service attack . Hence , applying the knowledge gained from the findings of previous request distributions research works seems to be the suitable strategy to cease the DDOS attacks .
Nevertheless , as in any complex system , there are implementation and policy compromises which lead to security vulnerabilities . This paper exploits such vulnerabilities to implement a suite of attacks , consisting of Address Resolution Protocol ( ARP ) cache poisoning , Man in the Middle , a firewall and access control bypassing port scan called a Phantom Host Scan , and a Distributed Denial of Service attack called a Phantom Storm which induces the participation of legitimate hosts . These attacks were successfully implemented in a Floodlight controlled network .
Also , the existing certified email protocols do not prevent the distributed denial of service attack by malicious senders . We propose a new certified email protocol which provides the fair exchange for all senders , called the undeniable fairness , and distributed denial of service protection .
With the DDoS ( distributed denial of service ) traffic which was implemented using depleted bandwidth is filtered by routers in high speed network , it is impossible for the victim to work on the individual level of on-going traffic flows . The scheme establishes the source and destination IP address database by observing the normal traffic and storages it in a Bloom Filter table .
With the DDoS ( distributed denial of service ) traffic which was implemented using depleted bandwidth is filtered by routers in high speed network , it is impossible for the victim to work on the individual level of on-going traffic flows . The scheme establishes the source and destination IP address database by observing the normal traffic and storages it in a Bloom Filter table .
The reason is that Distributed Denial of Service attacks are offered as a service , namely Booters , for less than 10 US dollars . As Booters offer a Distributed Denial of Service service that is paid , Booters often make use of Transport Layer Security certificates to appear trusted and hide themselves inside of encrypted traffic in order to evade detection and bypass critical security controls . In addition , Booters use Transport Layer Security certificates to ensure secure credit card transactions , data transfer and logins for their customers .
In this paper , an overview of distributed denial-of-service problem and Inherent vulnerabilities in the Internet architecture are provided . Real distributed denial-of-service incidents with their financial impact are critically analyzed and finally need for a comprehensive distributed denial-of-service solution is highlighted .
To optimize the quantity of the SYN semi-connection and the connecting time , we adopt running water technology in the proxy server . This method prevents the attacking of the distributed denial service effectively . And it also optimizes the visiting management and improves the visiting efficiency of the server .
Distributed Service Denial ( DDoS ) is a type of network attack , which each year increases in volume and intensity . DDoS attacks also form part of the major types of cyber security threats so far .
Indigo , Air India , Jet Airways by simulating random attack and targeted attack on the separate airlines networks . Random attack is based on the removal of random airports from the network and targeted attack is based on the removal of important airports based on the node attributes like degree , betweenness .
In addition , we also notice that although the distribution of Router network and BA network both satisfy the power law distribution , they show different structural vulnerability . The random attack has a better effect than the asymmetric information attack with nonzero node detection degree and attack range . Router network has the same structural vulnerability with ER network , which means Router network also has randomness .
We suggest a recommender algorithm to separate ratings generated by users into normal ratings and outlier ratings , and to minimize the effects of malicious users . Specifically , our algorithm first ensures a stable RS against three kinds of attack models ( Random attack , Average attack , and Bandwagon attack ) which are the main recent security issues in RS . To prove the performance of the method of suggestion , we conducted performance analysis on real world data that we crawled .
Through numerical results , we find the mutual effects between the network security situation and the adversary ’s strategy decision . Specifically , the selective attack strategy can help the adversary accumulate more attack resource compared to the random attack strategy .
The local preferential redistribution rule of the load was proposed , and the information system network node breakdown and the number of effective nodes were used to reflect the resisting ability of information system to risk propagation . Two attacking strategies , deliberate attacking with known network information and random attacking without network information , were designed . Information system security risk propagation under conditions of different node breakdown was analyzed through simulation .
In this paper , we show that it is also effective against random Gaussian fingerprint . Furthermore , we develop new randomised attacks which counter the effect of the decoder preprocessing of Zhao et al.
We then adopt a principled approach based on the characteristic time of a content in a cache to design an optimized attack strategy . Our experiments show that the proposed attack strategy outperforms the randomized attack with the same attack rate .
This work is focused on the RJ on OFDM modulations . We propose a new RJ strategy , called Non Uniform Power Allocation Pilot Tones Jamming ( PTJ ) , and show , through analysis and Monte-Carlo simulations , that it presents improved performances with respect to other existing conventional RJ attack , such as barrage jamming ( BJ ) and PTJ , known in the open literature .
Robustness of Cyber-Physical Systems against Simultaneous, Sequential and Composite Attack Performance analysis of one-step prediction-based cognitive jamming in jammer-radar countermeasure model Dynamics in argumentation with single extensions: attack refinement and the grounded extension Early Warning System for DDoS Attacking Based on Multilayer Deployment of Time Delay Neural Network Survey of Intrusion Detection Methods Based on Data Mining Algorithms Power attack: An imminent security threat in real-time system for detecting missing rail blocks in developing countries Quantum Physical Unclonable Functions: Possibilities and Impossibilities Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks Adversarial Attacks against Deep Saliency Models Intrusion detection model based on BP neural network and feature selection Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm Security of Web site in campus network Chapter 7 – SQL Optimum tuning of defense settings for common attacks on the web applications Method and apparatus for detecting structured query language injection attack Prevention of SQL Injection Attacks to Login Page of a Website Application using Prepared Statement Technique Detection of SQL Injection Attack in Web Applications using Web Services SQLIVD - AOP: Preventing SQL Injection Vulnerabilities Using Aspect Oriented Programming through Web Services SQL Injection Attacks and Defense Strategy and Implement to Prevent SQL Injection Attacks High-Interaction Honeypot System for SQL Injection Analysis The Security Research of Management Information System SQL injection prevention system Mutation Based SQL Injection Test Cases Generation for the Web Based Application Vulnerability Testing Advanced Code-reuse Attacks: A Novel Framework for JOP Is Less Really More? Why Reducing Code Reuse Gadget Counts via Software Debloating Doesn't Necessarily Lead to Better Security A dynamic detection method against ROP and JOP P-TAXI : enforcing memory safety with programmabletagged architecture; Programmable TAXI : enforcing memory safety withprogrammable tagged architecture; Enforcing memory safety with programmable taggedarchitecture Compromising an IoT device based on Harvard architecture microcontroller A Low Cost Worm Detection Technique based on Flow Payload Similarity An SVEIR Defending Model with Partial Immunization for Worms Analyzing the performance of Internet worm attack approaches Research on Worm Defense System Based on Local Network Protection Study of Worm-Attack Detection based on Netflow Automatic Extraction of Signature Based on Worm Attack Model and Semantic Analysis Epidemiological modeling of network worm infections and countermeasures The Analysis of Worm Non-linear Propagation Model and the Design of Worm Distributed Detection Technology Simple security using flow data PEIIDETEKSTAIT DAIT AITAI,ISA SERAITGAI$ DDOS{DTSTRIBUTED DEltrAL OF SERVICEI HTTPFLOOD DAN Sffi FLOOD PAI}A UIEB SERVERDENGAIT MESGGUNAKAfr HO$TEYFOT Parallel Ranking Assist against Distributed Reflection Denial of Service Attack Prevention against DDOS in MANET Reducing DDoS attacks impact using a hybrid cloud-based firewalling architecture DITFEC: Drift Identification in Traffic-Flow Streams for DDoS Attack Defense Through Ensemble Classifier Exploiting pitfalls in software-defined networking implementation Dynamic Undeniable Fair Certified Email with DDoS Protection GA-Based Filtering Algorithm to Defend against DDoS Attack in High Speed Network Research on DDoS Filtering Algorithm Based on Bloom Filter WhiteList Booters and Certificates : An Overview of TLS in the DDoS-as-a-Service Landscape DDoS Incidents and their Impact: A Review Soft defense system to distributed denial service attack Machine Learning-Based Distributed Denial of Service Attack Detection on Intrusion Detection System Regarding to Feature Selection Analysis of Three Major Airline Networks of India: A Complex Network Approach Analysis on Structural Vulnerability Under the Asymmetric Information STA : Sybil Type-aware Robust Recommender System Characterizing the Optimal Attack Strategy Decision in Cyber Epidemic Attacks with Limited Resources Security Risk Propagation of Information Systems Under Condition of Nodes Breakdown Novel Attacks on Spread-Spectrum Fingerprinting Investigating the impact of cache pollution attacks in heterogeneous cellular networks Non Uniform Power Allocation Pilot Tone Jamming in OFDM Systems
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