Results 11 to 20 of about 26,402 (256)
Robust Attack Graph Generation
CoRR, 2022 We present a method to learn automaton models that are more robust to input modifications. It iteratively aligns sequences to a learned model, modifies the sequences to their aligned versions, and re-learns the model. Automaton learning algorithms are typically very good at modeling the frequent behavior of a software system.
Dennis Mouwen, Sicco Verwer, Azqa Nadeem
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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
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Development of Cyber-Attack Scenarios for Nuclear Power Plants Using Scenario Graphs
International Journal of Distributed Sensor Networks, 2015 Modern nuclear power plants (NPPs) use a variety of digital technologies, with new technologies such as wireless sensor networks also under active consideration.
Woogeun Ahn +3 more
doaj +1 more source
Future Internet, 2023 For the current stage of complex and changing network environments and correlated and synchronized vulnerability attacks, this study first fuses attack graph technology and Bayesian networks and constructs Bayesian attack graphs toportray the correlation
Kongpei Wu, Huiqin Qu, Conggui Huang
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Security Countermeasures Selection Using the Meta Attack Language and Probabilistic Attack Graphs
IEEE Access, 2022 Connecting critical infrastructure assets to the network is absolutely essential for modern industries. In contrast to the apparent advantages, network connectivity exposes other infrastructure vulnerabilities that can be exploited by attackers.
Wojciech Widel +2 more
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Integrated Clinical Environment Security Analysis Using Reinforcement Learning
Bioengineering, 2022 Many communication standards have been proposed recently and more are being developed as a vision for dynamically composable and interoperable medical equipment.
Mariam Ibrahim, Ruba Elhafiz
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Dynamic Network Security Analysis Based on Bayesian Attack Graphs [PDF]
Jisuanji kexue, 2022 In order to overcome the difficulties that current attack graph model cannot reflect real-time network attack events,a method is proposed including a forward risk probability update algorithm and a forward-backward combined risk probability update ...
LI Jia-rui, LING Xiao-bo, LI Chen-xi, LI Zi-mu, YANG Jia-hai, ZHANG Lei, WU Cheng-nan
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A Survey of Automatic Generation of Attack Trees and Attack Graphs
CoRR, 2023 Graphical security models constitute a well-known, user-friendly way to represent the security of a system. These kinds of models are used by security experts to identify vulnerabilities and assess the security of a system. The manual construction of these models can be tedious, especially for large enterprises.
Alyzia Maria Konsta +3 more
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Method to generate attack graphs for assessing the overall security of networks
Tongxin xuebao, 2009 In order to evaluate the overall security of networks, a new method for generating attack graphs was proposed.The method used breadth-first algorithm to search the dependence of network vulnerabilities.To solve the state explosion problem, the strategies
MAN Da-peng1 +3 more
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Employing attack graphs for intrusion detection [PDF]
Proceedings of the New Security Paradigms Workshop, 2019 Intrusion detection systems are a commonly deployed defense that examines network traffic, host operations, or both to detect attacks. However, more attacks bypass IDS defenses each year, and with the sophistication of attacks increasing as well, we must examine new perspectives for intrusion detection.
Frank Capobianco +7 more
openaire +3 more sources