Oct 24, 2022 · This paper aims to come up with a novel methodology to detect false data injection attacks on cyber-physical power systems. To reach this goal, ...
Oct 28, 2022 · In this paper, we propose an efficient anomaly-based approach for detecting false data injection attacks against cyber-physical power systems.
New approaches need to be developed that not only sense cyber anomalies, but also detect undesired physical system behaviors. For DER systems, a combination of ...
A Data Mining-based Intrusion Detection System for Cyber Physical Power Systems ... Sharma , '' Detection of false data injection attacks in cyber-physical ...
Detection on false data injection attacks in smart grids and cyber-physical power systems using pattern mining.
Apr 19, 2024 · Khalil Guibene, Nadhir Messai, Marwane Ayaida, Lyes Khoukhi. A Data Mining-based Intrusion Detection System for Cyber Physical Power Systems ...
A cyber-physical power system test bed for intrusion detection systems
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This paper presents a test bed for the development of an intrusion detection system (IDS) for power systems. The test bed consists of a power system modeled on ...
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A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks · I. A. ...
This paper aims to provide a tool for the detection of cyber attacks in cyber-physical systems. ... Anomaly detector metrics for sensor data attacks in control.
This paper presents an optimized method for building an Intrusion Detection System (IDS) for a Cyber-Physical System (CPS) using deep learning techniques.