Covert Attack Detection Based on Hi/H∞ Optimization for Cyber-Physical Systems. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Qin, Jiao; Zhong, Maiying; Liu, Yang; Wang, Xianghua; Zhou, Donghua
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 4487
• Page End: 4492
• Publication Date: 2020
• Subjects: Cyber-physical system -- covert attack -- LDTV system -- detection filter -- Hi/H∞ optimization; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.453
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper, a new detection scheme is proposed to detect covert attack in the framework of H i /H ∞ index optimization for cyber-physical system (CPS) which is modeled as a linear discrete time-varying (LDTV) system. First, a random modulation matrix that the attacker cannot know is inserted into the path of the control variables to destroy the stealthiness of covert attacks. Second, a detection filter is constructed which transforms the detection problem into an H- /H ∞ or H∞ / H∞ index optimization problem. The optimal solution is obtained by solving the Riccati equation. Third, a decision making mechanism is presented to trigger an alarm and further determine whether the cause of alarm is a covert attack or a fault. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.