Optimal acknowledgment signal attacks against remote estimation |
| |
| Institution: | 1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China;2. China Telecom Research Institute, Shanghai, China;1. School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China;2. Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China;3. Jiangsu Province Engineering Research Center of Intelligent Meteorological Exploration Robot, Nanjing, 210044, China;1. School of Automation and Electrical Engineering, Linyi University, Shandong Province, 276000, PR China;2. Institute of Intelligent Manufacturing, Shandong Traffic Technician College, Shandong Province, 276000, PR China;1. Department of Automatic Control, School of Automation, Guangdong University of Technology, Guangzhou, Guangdong 510006 China;2. Department of Data Science, School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou, Guangdong 510521 China;3. College of Information Science and Technology, Donghua University, Shanghai 201620, China;1. Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Fars, Iran;2. Department of Power and Control Engineering, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Fars, Iran;1. Digital Economy Research Institute of Hangzhou Dianzi University-Yongjia, School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China;2. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;3. Department of Electrical and Computer Engineering, COMSATS University Islamabad (Lahore Campus), Lahore 54000, Pakistan |
| |
| Abstract: | In this paper, we consider a malicious attack issue against remote state estimation in cyber-physical systems. Due to the limited energy, the sensor adopts an acknowledgment-based (ACK-based) online power schedule to improve the remote state estimation. However, the feedback channel will also increase the risk of being attacked. The malicious attacker has the ability to intercept the ACK information and modify the ACK signals (ACKs) from the remote estimator. It could induce the sensor to make poor decisions while maintaining the observed data packet acceptance rate to keep the attacker undetected. To maximize the estimation error, the attacker will select appropriate attack times so that the sensor makes bad decisions. The optimal attack strategy based on the true ACKs and the corrosion ACKs is analytically proposed. The optimal attack time to modify the ACKs is the time when the sensor’s tolerance, i.e., the number of consecutive data packet losses allowed, is about to reach the maximum. In addition, such an optimal attack strategy is independent of the system parameters. Numerical simulations are provided to demonstrate the analytical results. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
