BIP! Finder - Efficient Cyber Attack Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA

2022 • Efficient Cyber Attack Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA

Authors: Moshe Kravchik; Asaf Shabtai

Venue: IEEE Transactions on Dependable and Secure Computing

Type: Publication

Abstract: Industrial control systems (ICSs) are widely used and vital to industry and society. Their failure can have severe impact on both economics and human life. Hence, these systems have become an attractive target for attacks, both physical and cyber. A number of attack detection methods have been proposed, however they are characterized by a low detection rate, a substantial false positive rate, or are system specific. In this paper, we study an attack detection method based on simple and lightweight neural networks, namely, 1D convolutions and au... (read more)

Impact:

6.135384E-8 6.247363E-9 56 56

/ Attention: 0 23

Topics: Artificial intelligence Machine learning Data mining

DOI: 10.1109/tdsc.2021.3050101

External links: Crossref OpenAIRE

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