![Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/5943/TOC-Subject-Sample-2021-Mathematics-Statistics.jpg"})
ABSTRACT
With the wide application of networked control systems, how to deal with data injection attacks and maintain the stability of control systems including wireless multi-hop networks is a problem that the researchers and technological workers must consider and solve. Based on the construction of a control system including wireless multi-hop networks, the data transmission mode between routing nodes and the stability condition of the control system are given. Considering the existence of data injection attacks to routing nodes, a real-time detection method for anomaly behaviours is presented on the basis of chi-square goodness-of-fit test. In the case of data injection actions taking place, a strategy of switching paths in turn is used to execute the control task. The strategy is satisfied with the resilient stability of the control system. The simulation results show that the detection method can detect the data injection actions in real time, and the control strategy can restore control variables to proper values when the data injection actions exist. These methods have certain application prospects and popularisation values.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Funding
Notes on contributors
Xinchun Jie
Xinchun Jie received his M.Sc. degree in 2005 from Third Research Institute, China Aerospace Science & Industry Corp. Now he is a PhD student in Shanghai University. His main research interests include networked control system and security control.
Minrui Fei
Minrui Fei received his Ph.D. degree from Shanghai University in 1997. Now he is a professor and doctoral supervisor at Shanghai University. His current research interests include intelligent network control theory, system and simulation, and the application of the key technology in electric power, metallurgy, electric appliances and experiment equipment Automation.
Dajun Du
Dajun Du received his B.Sc. degree in 2002 from Zhengzhou University, received his M.Sc. degree in 2005 from Zhengzhou University, received his Ph.D. degree in 2010 from Shanghai University, now he is Professor in Shanghai University. His main research interests include Networked advanced control and its application.