Results 11 to 20 of about 42,568 (290)
Transferable Graph Backdoor Attack
Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses, 2022 Accepted by the 25th International Symposium on Research in Attacks, Intrusions, and ...
Shuiqiao Yang +7 more
openaire +3 more sources
Construction method of attack scenario in cloud environment based on dynamic probabilistic attack graph [PDF]
Tongxin xuebao, 2021 Aiming at the problem of complex multi-step attack detection, the method of attack scenario construction oriented to cloud computing environment was studied.Firstly, a dynamic probabilistic attack graph model was constructed, and a probabilistic attack ...
Wenjuan WANG, Xuehui DU, Dibin SHAN
doaj +4 more sources
Research on network attack analysis method based on attack graph of absorbing Markov chain [PDF]
Tongxin xuebao, 2023 Existing intrusion path studies based on attack graph lack consideration of factors other than basic network environment information when calculating the state transition probability.In order to analyze the security of target network comprehensively and ...
Haiyan KANG, Molan LONG
doaj +4 more sources
A novel approach for analysis of attack graph [PDF]
2017 IEEE International Conference on Intelligence and Security Informatics (ISI), 2017 Attack graph technique is a common tool for the evaluation of network security. However, attack graphs are generally too large and complex to be understood and interpreted by security administrators. This paper proposes an analysis framework for security attack graphs for a given IT infrastructure system.
Mehdi Yousefi +3 more
openaire +4 more sources
Attack Graph Modeling for Implantable Pacemaker. [PDF]
Biosensors (Basel), 2020 Remote health monitoring systems are used to audit implantable medical devices or patients’ health in a non-clinical setting. These systems are prone to cyberattacks exploiting their critical vulnerabilities.
Ibrahim M, Alsheikh A, Matar A.
europepmc +2 more sources
Stealthy graph backdoor attack based on feature trigger
Complex & Intelligent SystemsRecent studies have shown that Graph Neural Networks (GNNs) are vulnerable to backdoor attacks. Embedding malicious triggers (e.g., subgraphs or features) in the graph leads to erroneous outputs.
Yang Chen, Zhou Bin, Haixing Zhao
doaj +2 more sources
Attack Entropy Optimization Algorithm Based on SQAG Model [PDF]
Jisuanji gongcheng, 2020 In order to reduce network security risks and better realize the optimization of network attack paths,this paper constructs a SQAG model for network attacks based on the existing network attack graphs.The model discretizes the attack process,in which the
ZHANG Jun, ZHANG Ankang, WANG Hui
doaj +1 more source
Attack prediction to enhance attack path discovery using improved attack graph [PDF]
, 2022 Organizations and governments constantly face potential security attacks. However, the need for next-generation cyber defense has become even more urgent in a day and age when attack surfaces that hackers can exploit have grown at an alarming rate with ...
Raihana Syahirah Abdullah +5 more
core +1 more source
Cyberattack Graph Modeling for Visual Analytics
IEEE Access, 2023 Cybersecurity research demands continuous monitoring of the dynamic threat landscape to detect novel attacks. Researchers and security professionals often deploy honeypot networks to intercept and examine real attack data.
Matej Rabzelj +4 more
doaj +1 more source
Vulnerability Evaluation Algorithm Based on BNAG Model [PDF]
Jisuanji gongcheng, 2019 In order to accurately evaluate the vulnerability of computer network,a new evaluation algorithm is proposed by combining Bayesian network with attack graph.An attack graph model is constructed,which is named RSAG.On the basis of eliminating the loop in ...
WANG Hui, LOU Yalong, DAI Tianwang, RU Xinxin, LIU Kun
doaj +1 more source