Title | ||
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Modeling impact of attacks, recovery, and attackability conditions for situational awareness |
Abstract | ||
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A distributed cyber control system comprises various types of assets, including sensors, intrusion detection systems, scanners, controllers, and actuators. The modeling and analysis of these components usually require multi-disciplinary approaches. This paper presents a modeling and dynamic analysis of a distributed cyber control system for situational awareness by taking advantage of control theory and time Petri net. Linear time-invariant systems are used to model the target system, attacks, assets influences, and an anomaly-based intrusion detection system. Time Petri nets are used to model the impact and timing relationships of attacks, vulnerability, and recovery at every node. To characterize those distributed control systems that are perfectly attackable, algebraic and topological attackability conditions are derived. Numerical evaluation is performed to determine the impact of attacks on distributed control system. |
Year | DOI | Venue |
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2014 | 10.1109/CogSIMA.2014.6816560 | Cognitive Methods in Situation Awareness and Decision Support |
Keywords | DocType | Citations |
petri nets,distributed processing,security of data,actuators,anomaly-based intrusion detection system,assets influence,control theory,controllers,distributed control system,distributed cyber control system,dynamic analysis,linear time-invariant system,modeling impact,numerical evaluation,scanners,situational awareness,time petri nets,timing relationships,topological attackability condition,linear time invariant system,intrusion detection,linear systems,decentralized control,anomaly based intrusion detection system,sensors | Conference | 2 |
PageRank | References | Authors |
0.40 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hasan Cam | 1 | 7 | 2.25 |
pierre mouallem | 2 | 2 | 0.40 |
Yilin Mo | 3 | 891 | 51.51 |
Bruno Sinopoli | 4 | 2837 | 188.08 |
benjamin nkrumah | 5 | 2 | 0.40 |