Automatic identification of integrity attacks in cyber-physical systems
作者：
Highlights：
• The cyber-layer existing in modern infrastructures opened the door to the emerging threat of cyber-attacks.
• This paper proposes a novel methodology for automatic identification of integrity attacks.
• The identification is performed by capturing the unique characteristics of each attack in the spectral and wavelet domains.
• The pattern of each cyber attack is captured by recognition algorithms of different modelling properties.
• The efficacy of the proposed approach is demonstrated in the Smart Grid domain.
摘要
•The cyber-layer existing in modern infrastructures opened the door to the emerging threat of cyber-attacks.•This paper proposes a novel methodology for automatic identification of integrity attacks.•The identification is performed by capturing the unique characteristics of each attack in the spectral and wavelet domains.•The pattern of each cyber attack is captured by recognition algorithms of different modelling properties.•The efficacy of the proposed approach is demonstrated in the Smart Grid domain.
论文关键词：Critical infrastructure protection,Fault diagnosis,Cyber security,Cyber-physical systems,Probabilistic modelling,Deep learning
论文评审过程：Received 23 December 2015, Revised 4 April 2016, Accepted 5 April 2016, Available online 9 April 2016, Version of Record 18 April 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.04.006
