Aug 25, 2017 · Our basic idea is to learn a classifier using a set of labelled data (i.e., power state) samples to detect the replayed states from normal ones.
A purely data-driven approach for good detection performance without side effects in replay attacks in power systems by learning a classifier using a set of ...
In this paper, we explore purely data-driven approach for good detection performance without side effects. Our basic idea is to learn a classifier using a set ...
In this paper, we explore purely data-driven approach for good detection performance without side effects. Our basic idea is to learn a classifier using a set ...
Nov 28, 2020 · Detecting replay attacks in power systems: A data-driven approach. Share: Authors: Ma M., Zhou P., Du D., Peng C., Fei M., AlBuflasa H.M..
Aligned to this theme, the paper presents two different schemes for replay attack detection. The singular value decomposition approach proposed in the paper is ...
May 1, 2024 · This paper addresses data-driven replay attack detection on industrial control systems. The primary challenge in detection lies in distinguishing replayed ...
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This paper considers a data-driven method to detect stealthy replay attacks on cyber-physical systems (CPSs) whose models are unknown.
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Local detection of replay attacks and data anomalies on PMU ...
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This paper proposes an online detection approach based on the minimum number of dynamic modes for the local detection of a replay attack and three types of bad ...
Mingliang Ma, Peng Zhou, Dajun Du , Chen Peng, Minrui Fei, Hanan Mubarak AlBuflasa: Detecting Replay Attacks in Power Systems: A Data-Driven Approach.