Poster
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, vol. 51, pp. 3463–3465
Abstract
Advances in digitalization and networking of power grids have increased the risks of cyberattacks against such critical infrastructures, where the attacks often originate from within the power grid's network. Adequate detection must hence consider both physical access violations and network anomalies to identify the attack's origin. Therefore, we propose INSIDE, combining network intrusion detection with automated facility monitoring to swiftly detect cyberattacks on power grids based on unauthorized access. Besides providing an initial design for INSIDE, we discuss potential use cases illustrating the benefits of such a comprehensive methodology.
Authors 5
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Fraunhofer Institute for Communication, Information Processing and Ergonomics
Affiliation as printed
Fraunhofer FKIE, Wachtberg, Germany
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Fraunhofer Institute for Communication, Information Processing and Ergonomics
Affiliation as printed
Fraunhofer FKIE, Wachtberg, Germany
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RWTH Aachen University · Fraunhofer Institute for Communication, Information Processing and Ergonomics
Affiliation as printed
RWTH Aachen University & Fraunhofer FKIE, Aachen, Germany
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Fraunhofer Institute for Communication, Information Processing and Ergonomics
Affiliation as printed
Fraunhofer FKIE, Wachtberg, Germany
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Fraunhofer Institute for Communication, Information Processing and Ergonomics
Affiliation as printed
Fraunhofer FKIE, Wachtberg, Germany
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References 11
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W3201629921details pending0citations
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W1591295894details pending0citations
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W2870670057details pending0citations
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W2891953355details pending0citations
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W2969640622details pending0citations
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W2994032767details pending0citations
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W3197743787details pending0citations
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W4229449168details pending0citations
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W4283711193details pending0citations
11 results