The success of service-oriented architectures ( SOAs ) and the Web Service technology in fulfilling the business 's needs for inter-enterprise processes led to new challenges for security management in federated environments . Because of the predominant aspect of loose coupling in a SOA the issue of where to locate the processes of authentication and authorization , forming together the access control , a vital part of security management , has to be addressed during the design of access control systems . In the area of tension between local , service-oriented , and federated approaches for access control architectures we identify several essential dimensions , e.g. scalability and maintenance , for evaluating access control architectures . In the case of the pedestrian walkway , patterned blocks and various colors were used to strengthen territoriality . Third , regarding access control , entrance and exit doorways of residential buildings were installed with entry and exit control systems , and signs indicating CCTV installations and surveillance in the form of neighbor to neighbor vigilance were installed . Fourth , regarding support for activities and maintenance , the activity levels of a space were enhanced through a space that combines both functions . The present invention discloses a heterogeneous network convergence scenario under collaborative session admission control method , comprising the steps of : ( 1 ) pooled bandwidth for each wireless communication network bandwidth a vector library ; ( 2 ) the bandwidth resource library vector according to " minimize the cost of an access session , the system load balancing optimization " two optimization objectives , the establishment of universal joint session admission control model ; ( 3 ) the use of artificial intelligence methods for solving the collaborative session admission control generic model , given the collaborative session admission control Program . The present invention provides a heterogeneous network fusion collaborative session admission control method in a scenario , the federation model , then the access control problem is a multi-objective optimization problem , namely : the cost of access to a user session as an optimization goal , the load balancing system as a further performance optimization goal ; a good compromise between the target load balancing and session access to the cost of the target user . The increase in the number of large scale events held indoors ( i.e. conferences , business events ) opens new opportunities for crowd monitoring , access controlling as a way to prevent risks , provide further information about the event 's development . In addition , the availability of already connectable devices among attendees allows to perform non-intrusive positioning during the event , without the need of specific tracking devices . In this mechanism there 's no need to manage and issue certificates and the key management is simple and easy to control . This paper achieved this certification system , laid the foundation for secure authentication and access controlling when getting data across clouds . The identity authorization is a key part of information security , and it is also the first step of access controlling . This paper introduces the ECC algorithm and the identity authorization theory , and then proposes a new identity authorization scheme based on the ECC algorithm , which can be used well in Intranet , the new scheme provides a high speed , safer and more credible service , by using mixed crypto system and the Soft-hardware co-design . The issue of ownership of models itself has to be explained because it is made up of several property regimes . As far as models are concerned these various facets of ownership are : authorship , allowance of use , permission to modify , responsibility for content , responsibility for use , control of access , control of use , and defining the proper use of models . If these facets of ownership are not properly defined , this may generate several types of conflict or under-use of the model . Reliable identification of individuals is a field in full growth . It is very requested in many areas , not only in the military environments or police but also in many civil applications , for example , the control of access to the systems of financial transactions ( banks , cash flow ... etc . ) . Traditional systems of security are based on knowledge ( password , PIN-code ... ) or on a possession ( badge , magnetic card , key , etc . ) , but these systems are less reliable for many environments , because of their inadequacy common to differentiate between an individual actually authorized and a fraudster ( individual having acquired access privileges fraudulently ) . THIS ARTICLE DEVELOPS PARTICULARLY THE TECHNICAL ASPECT OF THE INSTALLATION OF CONTROL EQUIPMENT ( MONITORING , TRANSMISSION ) AND WIDENS THE PERSPECTIVES FOR A FUTURE IMPLEMENTATION OF A GLOBAL POLICY FOR CONTROL OF ACCESS TO ALL PARTS OF THE ROAD NETWORK HAVING CONGESTED TRAFFIC . RFID technology is becoming more useful and it is applied in various domains such as inventory management , supply chain , logistics , control access , e-passport , e-health and many other applications . Proposing an authentication protocol for RFID systems must find a compromise between the limitation of resources and the security requirements . The Knowledge Object Language defines models of knowledge representation and reasoning . The metaCourier language supplies the underlying functionality for interprocess communication and control access across heterogeneous computing environments . The metaAgents language defines models for agent organization coordination , control , and resource management . Companies and professionals are currently demanding increasingly more specialized profiles , and it is therefore desirable for future graduates to have obtained one or more international professional certificates in computing security and auditing , or to at least to have received the preparation required to obtain them . It is therefore of the utmost importance that new studies be focused on professional needs without losing the scientific rigor demanded in engineers . Software differencing is the process of identifying differences between two versions of software . Finding the differences is important for applications such as efficient testing , merging , and auditing . Software differencing reduces to the problem of graph differencing for which the most general case is intractable . In order to provide trustworthy enterprise systems , prevention must be complemented with a rigorous posteriori process security controls to detect policy violations . This talk presents the state of the art in area of auditing business processes executions and challenges arising from big process logs generated by modern business process management systems . A self-developed ETL tool which is named DCT system is designed and realized under the background of the commercial bank non-scene auditing . The ETL system based on SOA is proposed in this pager , the XML technology is added for implementing the general access interface to heterogeneous muti-data sources . In recent years , a long-term remodeling project has addressed modeling issues in SNOMED CT 's Infectious disease and Congenital disease subhierarchies . In this longitudinal study , we investigated a posteriori the efficacy of complex concepts , called overlapping concepts , to identify commission errors during intensive auditing periods and during maintenance periods over several releases . The algorithmic implication is that when auditing resources are scarce , a methodology of auditing first , or only , the overlapping concepts will obtain a higher auditing yield . DANP ( DEMATEL-based ANP ) is then employed to calculate the influential weights of the dimensions and criteria . Finally , the modified VIKOR method is utilized to provide improvement priorities for performance cloud auditing provider satisfaction . Based on expert interviews , the recommendations for improvement priorities are privacy , security , processing integrity , availability , and confidentiality . Based on the findings from examples derived from the case study , it is suggested that the incidence of rework can have a multiplier effect of up to six times the actual ( direct ) cost of rectification . To reduce these costs it is concluded that design and construction organisations must improve their quality management systems by including a quality system for continuously auditing , analysing and presenting direct as well as indirect rework costs . The transaction auditing from auditors is achieved in AZUA through the encryption scheme , which ensures the honesty of the auditors by introducing a commitment mechanism and that the users can be aware of whether they have been audited according to randomized public keys . Finally , it is proved that the scheme can satisfy auditability , user awareness auditing and indistinguishability of audit information simultaneously . Two abstraction networks , the area taxonomy and p-area taxonomy , are derived from the partitions . The high-level views afforded by these abstraction networks form the basis for systematic auditing . The networks tend to highlight errors that manifest themselves as irregularities at the abstract level . The objective of this paper is to provide real examples from the operational level in how nurses are handling the daily challenges in collecting data on paper forms and electronic medium , such as computational solutions . An investigation / audit of nursing forms was conducted to gain insight into the type of data elements nurses collect in medical , surgical and aged care units for admission and discharge using a progressive method of auditing documentation done by nurses . Results : nurses were familiar with the discord between collecting real patient data/information and , the data required for reporting purposes for administration and / or to meet external requirements . In June 1996 , Stafford Beer and Heinz von Foerster were invited to Colombia to contribute to a number of events , among others to a symposium about second‐order auditing organized by the National Controller 's Office of Colombia in Cartagena de Indias . As part of the occasion , they visited Mompox , a colonial town in the delta of the Magdalena river . Plastic scintillators are relatively cheap to deploy in large volumes , are rugged and sensitive to a range of gamma energies . However , at present , plastic detectors that are available for deployment for security applications provide only minimal or no energy discrimination as the response to gamma radiation is primarily via Compton scattering so photopeaks are usually not visible . Thousands of shipping containers containing Naturally Occurring Radioactive Materials ( NORM ) made from ceramics , stoneware and other natural products are transported worldwide on a daily basis . Detecting a person using biometrics like fingerprints , iris , face , tread , and so . It has gained massive importance in the research area and also received a considerable attention in distinct fields like forensic , investigation , security applications , e-commerce authentication , automation systems , etc . Therefore , the following information gives the overview about the techniques used in the field of gender classification using fingerprint biometric of a person , which can be consumed to identify a person as masculine or feminine . There are however relevant considerations that are sometimes ignored by researchers that apply machine learning techniques for security related problems . In this work we identify and work on two problems that seem prevalent in security-related applications . The first problem is the usually large class imbalance between normal events and attack events . Secure Hash Algorithm is the most widely used Hash function in the world . This is one of the cryptographic algorithm which is mainly used for security based applications . This algorithm provides the best security i.e. , a message digest of size n produces a collision with a work factor of approximately 2^n/2 . Cryptographic hash functions have many security based applications , particularly in message authentication codes ( MACs ) , digital signatures and data integrity . Secure Hash Algorithm-3 ( SHA-3 ) is a new cryptographic hash algorithm that was selected on 2nd Oct ' 12 after a five year public contest organized by the National Institute of Standards and Technology ( NIST ) , USA . The security based applications need sensitive data transfer between different nodes or destinations . In order to increase the speed and to reduce the hardware complexity , this proposed system focuses on the VLSI implementation of light weight security algorithm such as Tiny Encryption Algorithm ( TEA ) which can be designed and implemented in VLSI to adapt with many real time constraints such as memory , high throughput and low delay . Given a collection of event-related documents , event ranking generates a list of ranked events based on the input query . Ranking news events , which takes event related news documents for the generation of ranked events , is both an essential research issue and important component for many security oriented applications , such as public event monitoring , retrieval , detection and mining . Previous related work solely relies on queries of event relevant aspects , and user relevant aspects of queries that are critical for security applications are totally ignored . Moving object detection and face detection play an important role in the video surveillance applications . It is a part of security oriented applications such as traffic systems , hospitals , banks . Background subtraction algorithm is used in order to detect the foreground . In the recent years , the applying of machine learning techniques has attracted many researches ’ attention for automatic filtering of Spams . In this article , a system of spam filtering has been presented based on Adaboost algorithm . In the proposed method , the available terms in email have been used as the basic features in classifying email issues . The goal of the spam filtering problem is to identify an email as a spam or not spam . Obtaining real world annotated data is expensive as it requires humans to manually classify messages as spam or not . Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier and hence have a natural appeal in spam filtering applications . Here we will investigate the performance of active learning using confidence based label sampling using Boosting . In contrast to classical kernels , we propose the use of various string kernels for spam filtering . We show how effectively string kernels suit spam filtering problem . On the other hand , data preprocessing is a vital part of text classification where the objective is to generate feature vectors usable by SVM kernels . However , this is a quite strong restriction as usually the characteristics of systems and environmental conditions change , evolve over time . A typical example of changing environments is the spam detection and filtering . The descriptions of the two classes “ spam ” and “ nonspam ” evolve over time due to the changes of user preferences and “ spammers ” techniques to trick spam classifiers . This redundant information has a negative impact on the accuracy and detection rate of many methods that have been used for detection and filtering . In this paper we propose a statistical feature selection approach combined with similarity coefficients are used to improve the accuracy and detection rate for the spam detection and filtering and prove the stability of detection rate , accuracy and false raising system . The task of determining whether two images are near-duplicate or not becomes increasingly important in many applications , such as copyright infringement detection , sub-image retrieval and spam image filtering . Traditional methods for near-duplicate image identification ( NDII ) usually extract image local features firstly , and then quantize them as bag of words ( BOW ) ; the frequency histogram is finally taken as the representation of image for NDII . Using a classifier based on a specific machine-learning technique to automatically filter out spam email has drawn many researchers ' attention . In a spam filtering process , how to selecting the features of emails and how to design a good filtering algorithm are two key issues . A new method of features selecting was proposed , which include the head and the other main features of emails . In this paper , a Chinese multi-model fuzzy matching method for " spam " monitoring is put forward to overcome 4camouflage strategies for harmful keywords , which frequently appear in the process of " spam " detection filtering . First , fuzzy pretreatment is made of keywords and detecting message , then an initial matching is conducted of the Chinese information , using the WM algorithm and , finally , a multi-model fuzzy matching is made . In this paper the traditional naive Bayes algorithm for spam filtering rate is not advanced problem , proposed one kind based on the minimum risk Bayesian spam filtering technology of network information , the minimum risk Bayes can reduce the normal mail condemned as spam risk , finally the experimental result indicated that , compared with traditional algorithm , this paper puts forward the method of filtering effect improved . Assessing the level of information security in a web-based application is a serious challenge for many organizations . One of the important steps to ensure the security of web application is conducting vulnerability assessment periodically . Vulnerability assessment is a process to search for any potential loopholes or vulnerability contain in a system . Research limitations/implications This research does not capture aspects of time , such as the reality that cargo requirements and enemy threats may fluctuate each day of the contingency . Practical implications This work provides military logistics planners and decision-makers with a vulnerability assessment of theater distribution routes , including insights into which specific roads and railways may require protection to ensure the successful delivery of cargo from ports of debarkation to final destinations . Originality/value Pure strategy and mixed strategy Nash Equilibrium corresponding to the attack-defense contest can be obtained by solving the payoff matrix under different pre-defined attack-defense scenarios . Based on the Nash Equilibrium , the vulnerability rankings of power grid components can be obtained and the vulnerability assessment can be conducted as well as the allocation plan of defense fund . However , current research work can not provide highly available environment supporting for different types of vulnerabilities . Aiming at the problem , this paper proposes a novel method for constructing software vulnerability analysis environment based upon virtualization technique , defines the system level simulation model for vulnerability analysis , and describes the simulation model based vulnerability analysis method . Based upon the simulation model and analysis method , we have designed and implemented the Virtualization-based Vulnerability Analysis Environment ( VirtualVAE ) , which can examine the operation behaviors of guest operation system and applications at hardware level , and analyze the operation process of sensitive data in the whole system . A vast amount of data covering different water-related topics is hosted by the system and can be visualised for further analysis . The data products stem from the fields of remote sensing , hydrological modelling , vulnerability studies , statistical data from year books , etc . As a consequence , one complexity lies in the task of making these different data types from different disciplines efficiently accessible to non GIS experts for certain user driven questions . The impact of a component failure on the system is dynamically changing as the failure propagates . We formulate the vulnerability analysis problem as an optimization problem and use linear programming to solve it . Since instability is the reason of power outage , we use an instability index to measure the negative impact to the system . To this end , this work analyzes how the placement of ground control points ( GCPs ) used to georeference the dense point cloud of a dam affects the resulting three-dimensional ( 3D ) model . Images of a double arch masonry dam upstream face are acquired from drone survey and used to build the 3D model of the dam for vulnerability analysis purposes . However , there still remained the issue of understanding the real impact of a correct GCPs location choice to properly georeference the images and thus , the model . The reasons why we choose these indexes in network and hyper-network model are also explained . Finally , the analysis in the case study illustrates that the method proposed is helpful for identifying critical elements of the CPS , which provides a new avenue for future vulnerability analysis research . With the extensive reuse of open source components , the scope of vulnerability impact will have cascade expansion . At the level of vulnerability data analysis , aiming at the vulnerability propagation problem , this thesis proposes a hierarchical propagation path search algorithm based on open source software vulnerability knowledge graph , at the same time , proposes a heuristic search strategy in both component layer and class layer to reduce the search space complexity , which is optimized from exponential down to polynomial . Furthermore , we propose the optimal blocking concept to represent the cost of repairing the entire propagation path , in order to measure the severity of the project 's vulnerability . Unfortunately , today ’s software engineers are not typically trained in the development of secure software systems . Implementation of application security requires that the programmer be an expert not only in the application domain , but also in secure coding practices . Our universities are beginning to add security to the software educational curriculum so that new graduates can distinguish good practices from bad as they translate software designs into source code . Security is critical for the deployment of these services . Previous work focused primarily on MAC and routing protocol security , while application-level security has received relatively little attention . In this paper we focus on providing data confidentiality for group communications in WMNs . Unlike in a monolithic application , the depth and breadth we need to worry about in securing a microservice is much higher . There are multiple perspectives in securing microservices : secure development lifecycle and test automation , security in DevOps , and application level security . We propose a framework based on Collaborative Runtime Monitors ( CoRuM ) for application-level security . CoRuM detects the abnormal behavior of an application by observing critical characteristics during program runtime . In this paper we propose a high-rate data hiding technique for audio signals suitable for non-secure applications that require a large bit rate but no particular robustness to attacks . More particularly , the proposed technique is suitable for enriched-content applications involv- ing uncompressed PCM audio signals , as used in audio-CD and .wav formats . Microprocessor means for providing a secure execution environment , including a microprocessor and secure nonvolatile memory . Microprocessor executes more non-secure applications and a secure application . These non-secure applications through the system from the system memory bus access . The application of VANET can be divided into two types : security and non-security . Non-secure applications are primarily used to provide entertainment information . Secure applications will provide information to the driver in advance . This yields a more complex security property that is proven using interactive verification . The verification of this kind of application-specific property is part of the SecureMDD approach which provides a method to model a security-critical application with UML and automatically generates executable code as well as a formal specification for interactive verification from the UML models .
The success of service-oriented architectures ( SOAs ) and the Web Service technology in fulfilling the business 's needs for inter-enterprise processes led to new challenges for security management in federated environments . Because of the predominant aspect of loose coupling in a SOA the issue of where to locate the processes of authentication and authorization , forming together the access control , a vital part of security management , has to be addressed during the design of access control systems . In the area of tension between local , service-oriented , and federated approaches for access control architectures we identify several essential dimensions , e.g. scalability and maintenance , for evaluating access control architectures .
In the case of the pedestrian walkway , patterned blocks and various colors were used to strengthen territoriality . Third , regarding access control , entrance and exit doorways of residential buildings were installed with entry and exit control systems , and signs indicating CCTV installations and surveillance in the form of neighbor to neighbor vigilance were installed . Fourth , regarding support for activities and maintenance , the activity levels of a space were enhanced through a space that combines both functions .
The present invention discloses a heterogeneous network convergence scenario under collaborative session admission control method , comprising the steps of : ( 1 ) pooled bandwidth for each wireless communication network bandwidth a vector library ; ( 2 ) the bandwidth resource library vector according to " minimize the cost of an access session , the system load balancing optimization " two optimization objectives , the establishment of universal joint session admission control model ; ( 3 ) the use of artificial intelligence methods for solving the collaborative session admission control generic model , given the collaborative session admission control Program . The present invention provides a heterogeneous network fusion collaborative session admission control method in a scenario , the federation model , then the access control problem is a multi-objective optimization problem , namely : the cost of access to a user session as an optimization goal , the load balancing system as a further performance optimization goal ; a good compromise between the target load balancing and session access to the cost of the target user .
The increase in the number of large scale events held indoors ( i.e. conferences , business events ) opens new opportunities for crowd monitoring , access controlling as a way to prevent risks , provide further information about the event 's development . In addition , the availability of already connectable devices among attendees allows to perform non-intrusive positioning during the event , without the need of specific tracking devices .
In this mechanism there 's no need to manage and issue certificates and the key management is simple and easy to control . This paper achieved this certification system , laid the foundation for secure authentication and access controlling when getting data across clouds .
The identity authorization is a key part of information security , and it is also the first step of access controlling . This paper introduces the ECC algorithm and the identity authorization theory , and then proposes a new identity authorization scheme based on the ECC algorithm , which can be used well in Intranet , the new scheme provides a high speed , safer and more credible service , by using mixed crypto system and the Soft-hardware co-design .
The issue of ownership of models itself has to be explained because it is made up of several property regimes . As far as models are concerned these various facets of ownership are : authorship , allowance of use , permission to modify , responsibility for content , responsibility for use , control of access , control of use , and defining the proper use of models . If these facets of ownership are not properly defined , this may generate several types of conflict or under-use of the model .
Reliable identification of individuals is a field in full growth . It is very requested in many areas , not only in the military environments or police but also in many civil applications , for example , the control of access to the systems of financial transactions ( banks , cash flow ... etc . ) . Traditional systems of security are based on knowledge ( password , PIN-code ... ) or on a possession ( badge , magnetic card , key , etc . ) , but these systems are less reliable for many environments , because of their inadequacy common to differentiate between an individual actually authorized and a fraudster ( individual having acquired access privileges fraudulently ) .
THIS ARTICLE DEVELOPS PARTICULARLY THE TECHNICAL ASPECT OF THE INSTALLATION OF CONTROL EQUIPMENT ( MONITORING , TRANSMISSION ) AND WIDENS THE PERSPECTIVES FOR A FUTURE IMPLEMENTATION OF A GLOBAL POLICY FOR CONTROL OF ACCESS TO ALL PARTS OF THE ROAD NETWORK HAVING CONGESTED TRAFFIC .
RFID technology is becoming more useful and it is applied in various domains such as inventory management , supply chain , logistics , control access , e-passport , e-health and many other applications . Proposing an authentication protocol for RFID systems must find a compromise between the limitation of resources and the security requirements .
The Knowledge Object Language defines models of knowledge representation and reasoning . The metaCourier language supplies the underlying functionality for interprocess communication and control access across heterogeneous computing environments . The metaAgents language defines models for agent organization coordination , control , and resource management .
Companies and professionals are currently demanding increasingly more specialized profiles , and it is therefore desirable for future graduates to have obtained one or more international professional certificates in computing security and auditing , or to at least to have received the preparation required to obtain them . It is therefore of the utmost importance that new studies be focused on professional needs without losing the scientific rigor demanded in engineers .
Software differencing is the process of identifying differences between two versions of software . Finding the differences is important for applications such as efficient testing , merging , and auditing . Software differencing reduces to the problem of graph differencing for which the most general case is intractable .
In order to provide trustworthy enterprise systems , prevention must be complemented with a rigorous posteriori process security controls to detect policy violations . This talk presents the state of the art in area of auditing business processes executions and challenges arising from big process logs generated by modern business process management systems .
A self-developed ETL tool which is named DCT system is designed and realized under the background of the commercial bank non-scene auditing . The ETL system based on SOA is proposed in this pager , the XML technology is added for implementing the general access interface to heterogeneous muti-data sources .
In recent years , a long-term remodeling project has addressed modeling issues in SNOMED CT 's Infectious disease and Congenital disease subhierarchies . In this longitudinal study , we investigated a posteriori the efficacy of complex concepts , called overlapping concepts , to identify commission errors during intensive auditing periods and during maintenance periods over several releases . The algorithmic implication is that when auditing resources are scarce , a methodology of auditing first , or only , the overlapping concepts will obtain a higher auditing yield .
DANP ( DEMATEL-based ANP ) is then employed to calculate the influential weights of the dimensions and criteria . Finally , the modified VIKOR method is utilized to provide improvement priorities for performance cloud auditing provider satisfaction . Based on expert interviews , the recommendations for improvement priorities are privacy , security , processing integrity , availability , and confidentiality .
Based on the findings from examples derived from the case study , it is suggested that the incidence of rework can have a multiplier effect of up to six times the actual ( direct ) cost of rectification . To reduce these costs it is concluded that design and construction organisations must improve their quality management systems by including a quality system for continuously auditing , analysing and presenting direct as well as indirect rework costs .
The transaction auditing from auditors is achieved in AZUA through the encryption scheme , which ensures the honesty of the auditors by introducing a commitment mechanism and that the users can be aware of whether they have been audited according to randomized public keys . Finally , it is proved that the scheme can satisfy auditability , user awareness auditing and indistinguishability of audit information simultaneously .
Two abstraction networks , the area taxonomy and p-area taxonomy , are derived from the partitions . The high-level views afforded by these abstraction networks form the basis for systematic auditing . The networks tend to highlight errors that manifest themselves as irregularities at the abstract level .
The objective of this paper is to provide real examples from the operational level in how nurses are handling the daily challenges in collecting data on paper forms and electronic medium , such as computational solutions . An investigation / audit of nursing forms was conducted to gain insight into the type of data elements nurses collect in medical , surgical and aged care units for admission and discharge using a progressive method of auditing documentation done by nurses . Results : nurses were familiar with the discord between collecting real patient data/information and , the data required for reporting purposes for administration and / or to meet external requirements .
In June 1996 , Stafford Beer and Heinz von Foerster were invited to Colombia to contribute to a number of events , among others to a symposium about second‐order auditing organized by the National Controller 's Office of Colombia in Cartagena de Indias . As part of the occasion , they visited Mompox , a colonial town in the delta of the Magdalena river .
Plastic scintillators are relatively cheap to deploy in large volumes , are rugged and sensitive to a range of gamma energies . However , at present , plastic detectors that are available for deployment for security applications provide only minimal or no energy discrimination as the response to gamma radiation is primarily via Compton scattering so photopeaks are usually not visible . Thousands of shipping containers containing Naturally Occurring Radioactive Materials ( NORM ) made from ceramics , stoneware and other natural products are transported worldwide on a daily basis .
Detecting a person using biometrics like fingerprints , iris , face , tread , and so . It has gained massive importance in the research area and also received a considerable attention in distinct fields like forensic , investigation , security applications , e-commerce authentication , automation systems , etc . Therefore , the following information gives the overview about the techniques used in the field of gender classification using fingerprint biometric of a person , which can be consumed to identify a person as masculine or feminine .
There are however relevant considerations that are sometimes ignored by researchers that apply machine learning techniques for security related problems . In this work we identify and work on two problems that seem prevalent in security-related applications . The first problem is the usually large class imbalance between normal events and attack events .
Secure Hash Algorithm is the most widely used Hash function in the world . This is one of the cryptographic algorithm which is mainly used for security based applications . This algorithm provides the best security i.e. , a message digest of size n produces a collision with a work factor of approximately 2^n/2 .
Cryptographic hash functions have many security based applications , particularly in message authentication codes ( MACs ) , digital signatures and data integrity . Secure Hash Algorithm-3 ( SHA-3 ) is a new cryptographic hash algorithm that was selected on 2nd Oct ' 12 after a five year public contest organized by the National Institute of Standards and Technology ( NIST ) , USA .
The security based applications need sensitive data transfer between different nodes or destinations . In order to increase the speed and to reduce the hardware complexity , this proposed system focuses on the VLSI implementation of light weight security algorithm such as Tiny Encryption Algorithm ( TEA ) which can be designed and implemented in VLSI to adapt with many real time constraints such as memory , high throughput and low delay .
Given a collection of event-related documents , event ranking generates a list of ranked events based on the input query . Ranking news events , which takes event related news documents for the generation of ranked events , is both an essential research issue and important component for many security oriented applications , such as public event monitoring , retrieval , detection and mining . Previous related work solely relies on queries of event relevant aspects , and user relevant aspects of queries that are critical for security applications are totally ignored .
Moving object detection and face detection play an important role in the video surveillance applications . It is a part of security oriented applications such as traffic systems , hospitals , banks . Background subtraction algorithm is used in order to detect the foreground .
In the recent years , the applying of machine learning techniques has attracted many researches ’ attention for automatic filtering of Spams . In this article , a system of spam filtering has been presented based on Adaboost algorithm . In the proposed method , the available terms in email have been used as the basic features in classifying email issues .
The goal of the spam filtering problem is to identify an email as a spam or not spam . Obtaining real world annotated data is expensive as it requires humans to manually classify messages as spam or not . Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier and hence have a natural appeal in spam filtering applications . Here we will investigate the performance of active learning using confidence based label sampling using Boosting .
In contrast to classical kernels , we propose the use of various string kernels for spam filtering . We show how effectively string kernels suit spam filtering problem . On the other hand , data preprocessing is a vital part of text classification where the objective is to generate feature vectors usable by SVM kernels .
However , this is a quite strong restriction as usually the characteristics of systems and environmental conditions change , evolve over time . A typical example of changing environments is the spam detection and filtering . The descriptions of the two classes “ spam ” and “ nonspam ” evolve over time due to the changes of user preferences and “ spammers ” techniques to trick spam classifiers .
This redundant information has a negative impact on the accuracy and detection rate of many methods that have been used for detection and filtering . In this paper we propose a statistical feature selection approach combined with similarity coefficients are used to improve the accuracy and detection rate for the spam detection and filtering and prove the stability of detection rate , accuracy and false raising system .
The task of determining whether two images are near-duplicate or not becomes increasingly important in many applications , such as copyright infringement detection , sub-image retrieval and spam image filtering . Traditional methods for near-duplicate image identification ( NDII ) usually extract image local features firstly , and then quantize them as bag of words ( BOW ) ; the frequency histogram is finally taken as the representation of image for NDII .
Using a classifier based on a specific machine-learning technique to automatically filter out spam email has drawn many researchers ' attention . In a spam filtering process , how to selecting the features of emails and how to design a good filtering algorithm are two key issues . A new method of features selecting was proposed , which include the head and the other main features of emails .
In this paper , a Chinese multi-model fuzzy matching method for " spam " monitoring is put forward to overcome 4camouflage strategies for harmful keywords , which frequently appear in the process of " spam " detection filtering . First , fuzzy pretreatment is made of keywords and detecting message , then an initial matching is conducted of the Chinese information , using the WM algorithm and , finally , a multi-model fuzzy matching is made .
In this paper the traditional naive Bayes algorithm for spam filtering rate is not advanced problem , proposed one kind based on the minimum risk Bayesian spam filtering technology of network information , the minimum risk Bayes can reduce the normal mail condemned as spam risk , finally the experimental result indicated that , compared with traditional algorithm , this paper puts forward the method of filtering effect improved .
Assessing the level of information security in a web-based application is a serious challenge for many organizations . One of the important steps to ensure the security of web application is conducting vulnerability assessment periodically . Vulnerability assessment is a process to search for any potential loopholes or vulnerability contain in a system .
Research limitations/implications This research does not capture aspects of time , such as the reality that cargo requirements and enemy threats may fluctuate each day of the contingency . Practical implications This work provides military logistics planners and decision-makers with a vulnerability assessment of theater distribution routes , including insights into which specific roads and railways may require protection to ensure the successful delivery of cargo from ports of debarkation to final destinations . Originality/value
Pure strategy and mixed strategy Nash Equilibrium corresponding to the attack-defense contest can be obtained by solving the payoff matrix under different pre-defined attack-defense scenarios . Based on the Nash Equilibrium , the vulnerability rankings of power grid components can be obtained and the vulnerability assessment can be conducted as well as the allocation plan of defense fund .
However , current research work can not provide highly available environment supporting for different types of vulnerabilities . Aiming at the problem , this paper proposes a novel method for constructing software vulnerability analysis environment based upon virtualization technique , defines the system level simulation model for vulnerability analysis , and describes the simulation model based vulnerability analysis method . Based upon the simulation model and analysis method , we have designed and implemented the Virtualization-based Vulnerability Analysis Environment ( VirtualVAE ) , which can examine the operation behaviors of guest operation system and applications at hardware level , and analyze the operation process of sensitive data in the whole system .
A vast amount of data covering different water-related topics is hosted by the system and can be visualised for further analysis . The data products stem from the fields of remote sensing , hydrological modelling , vulnerability studies , statistical data from year books , etc . As a consequence , one complexity lies in the task of making these different data types from different disciplines efficiently accessible to non GIS experts for certain user driven questions .
The impact of a component failure on the system is dynamically changing as the failure propagates . We formulate the vulnerability analysis problem as an optimization problem and use linear programming to solve it . Since instability is the reason of power outage , we use an instability index to measure the negative impact to the system .
To this end , this work analyzes how the placement of ground control points ( GCPs ) used to georeference the dense point cloud of a dam affects the resulting three-dimensional ( 3D ) model . Images of a double arch masonry dam upstream face are acquired from drone survey and used to build the 3D model of the dam for vulnerability analysis purposes . However , there still remained the issue of understanding the real impact of a correct GCPs location choice to properly georeference the images and thus , the model .
The reasons why we choose these indexes in network and hyper-network model are also explained . Finally , the analysis in the case study illustrates that the method proposed is helpful for identifying critical elements of the CPS , which provides a new avenue for future vulnerability analysis research .
With the extensive reuse of open source components , the scope of vulnerability impact will have cascade expansion . At the level of vulnerability data analysis , aiming at the vulnerability propagation problem , this thesis proposes a hierarchical propagation path search algorithm based on open source software vulnerability knowledge graph , at the same time , proposes a heuristic search strategy in both component layer and class layer to reduce the search space complexity , which is optimized from exponential down to polynomial . Furthermore , we propose the optimal blocking concept to represent the cost of repairing the entire propagation path , in order to measure the severity of the project 's vulnerability .
Unfortunately , today ’s software engineers are not typically trained in the development of secure software systems . Implementation of application security requires that the programmer be an expert not only in the application domain , but also in secure coding practices . Our universities are beginning to add security to the software educational curriculum so that new graduates can distinguish good practices from bad as they translate software designs into source code .
Security is critical for the deployment of these services . Previous work focused primarily on MAC and routing protocol security , while application-level security has received relatively little attention . In this paper we focus on providing data confidentiality for group communications in WMNs .
Unlike in a monolithic application , the depth and breadth we need to worry about in securing a microservice is much higher . There are multiple perspectives in securing microservices : secure development lifecycle and test automation , security in DevOps , and application level security .
We propose a framework based on Collaborative Runtime Monitors ( CoRuM ) for application-level security . CoRuM detects the abnormal behavior of an application by observing critical characteristics during program runtime .
In this paper we propose a high-rate data hiding technique for audio signals suitable for non-secure applications that require a large bit rate but no particular robustness to attacks . More particularly , the proposed technique is suitable for enriched-content applications involv- ing uncompressed PCM audio signals , as used in audio-CD and .wav formats .
Microprocessor means for providing a secure execution environment , including a microprocessor and secure nonvolatile memory . Microprocessor executes more non-secure applications and a secure application . These non-secure applications through the system from the system memory bus access .
The application of VANET can be divided into two types : security and non-security . Non-secure applications are primarily used to provide entertainment information . Secure applications will provide information to the driver in advance .
This yields a more complex security property that is proven using interactive verification . The verification of this kind of application-specific property is part of the SecureMDD approach which provides a method to model a security-critical application with UML and automatically generates executable code as well as a formal specification for interactive verification from the UML models .
Towards Systematic Engineering of Service-Oriented Access Control in Federated Environments 도시형생활주택의 범죄예방환경설계 계획을 위한 국외사례 조사 및 분석 A heterogeneous network scenario fusion collaborative session admission control method in A Platform for Overcrowding Detection in Indoor Events Using Scalable Technologies Authentication Mechanism of Crossing Clouds in Hybrid Cloud Services The Design of Identity System on Intranet Based on ECC Algorithm Model designed through participatory processes: whose model is it? Fingerprint Authentication by wavelets THE A6-B6-C6 CORRIDOR. THE END OF A NIGHTMARE Two Mutual Authentication Protocols Based on Zero-Knowledge Proofs for RFID Systems A development framework for distributed artificial intelligence Content related to Computing Security on Computer Engineering Degree according to International Professional Certificates Method of comparing graph differencing algorithms for software differencing A Posteriori Process Security Control Design and Realization of Bank Non-scene Auditing ETL Based on SOA Overlapping Complex Concepts Have More Commission Errors, Especially in Intensive Terminology Auditing CPA firm’s cloud auditing provider for performance evaluation and improvement: an empirical case of China Auditing the indirect consequences of rework in construction: a case based approach Auditable zerocoin scheme with user awareness Structural methodologies for auditing SNOMED The Chaos in Primary Nursing Data: Good Information Reduces Risk Heinz and Stafford Is the holy grail plastic? Radiation Identification from plastic scintillators Dactyloscopy Based Gender Classification Using Machine Learning Design and evaluation of decision making algorithms for information security FPGA Realization of Secured Hash Algorithm with Parallel Architecture Efficient High Speed Implementation of Secure Hash Algorithm-3 on Virtex-5 FPGA LOW POWER CRYPTOSYSTEM WITH KEY GENERATION UNIT Ranking events based on user relevant query An area efficient FPGA implementation of moving object detection and face detection using adaptive threshold method Spam Filtering by Using a Compound Method of Feature Selection Active Learning with Boosting for Spam Detection A study of spam filtering using support vector machines Adaptive and on-line learning in non-stationary environments Email Spam Detection Framework with underlined Coefficient Equality Technique Partial near-duplicate image identification with global geometric consistency of subset-of-features Weighted Nave Bayes Spam Filtering Method Based on Rough Set A Research of Chinese Multi-pattern Fuzzy Matching Algorithm for SMS Spam Monitoring Improved Bayesian Spam Filtering Technology of Network Information A Survey on Conducting Vulnerability Assessment in Web-Based Application Assessing the vulnerability of military theater distribution routes Electric grid vulnerability assessment under attack-defense scenario based on game theory A software vulnerability analysis environment based on virtualization technology RESTful WISDOM (Water-related Information System for the sustainable development of the Mekong Delta) Vulnerability analysis of a smart grid with monitoring and control system Accuracy Analysis of a Dam Model from Drone Surveys A Method for Identifying Critical Elements of a Cyber-Physical System Under Data Attack Open Source Software Vulnerability Propagation Analysis Algorithm based on Knowledge Graph Securing Legacy C Applications Using Dynamic Data Flow Analysis Secure group communication in wireless mesh networks Microservices Security Fundamentals CoRuM: Collaborative Runtime Monitor Framework for Application Security A High-Rate Data Hiding Technique for Uncompressed Audio Signals Provide a secure execution environment of the microprocessors and method for performing secure coding A Multi-channel Cooperative Demand-Aware Media Access Control Scheme in Vehicular Ad-Hoc Network Formal Verification of Application-Specific Security Properties in a Model-Driven Approach
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SERVICES II UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld ICIST ICISC EIT ICISSP AMIA ICCSP DSD ISI AMLTA WCNIS CSIIRW SmartCloud WOWMOM UCC Companion ESSoS
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