Multi-Source Multi-Domain Data Fusion for Cyberattack Detection in ...
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Aug 24, 2021 · In this work, a mechanism to fuse real-time data from cyber and physical domains, to improve situational awareness of the whole system is developed.
Jan 18, 2021 · In this work, we show that fusing information from multiple data sources can help identify cyber-induced incidents and reduce false positives.
Oct 22, 2024 · This cyber and physical data fusion results in cyber-physical state space explosion which is addressed using different feature transformation ...
Aug 24, 2021 · This cyber and physical data fusion results in cyber-physical state space explosion which is addressed using different feature transformation ...
Our fusion engine is further integrated into a cyber-physical power system testbed as an application that collects cyber and power system telemetry from ...
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It is demonstrated how improved situational awareness can help reduce false positives in intrusion detection and improvement of detection accuracy by fusion ...
Sep 10, 2024 · We perform multi-source data fusion for training IDS in a cyber-physical power system testbed where we collect cyber and physical side data from ...
In this paper, we propose a multi-source data fusion scheme for intrusion detection in networks (MIND), where data fusion is performed by the horizontal ...
Zonouz “Multi-Source Data Fusion for Cyberattack Detection in Power Systems” published in IEEE Access, 2021. View; Huang, Hao, C. Matthew Davis, and ...
May 4, 2023 · We propose a multi-source self-attention data fusion model for designing an efficient FDIA detection method.