A stealthy artificial noise strategy against eavesdropping for remote estimation sensor networks |
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| Institution: | 1. School of Automation, Southeast University, Nanjing 210096, China;2. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China;1. School of Information Science and Technology, and Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong, Linyi University, Linyi 276005, PR China;2. College of Mathematics and System Sciences, Xinjiang University, Urumqi 830000, China;3. School of Mathematics, Southeast University, Nanjing 210096, China;4. Yonsei Frontier Lab, Yonsei University, Seoul 03722, South Korea;1. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, PR China;2. Department of Mathematics, Zhejiang Normal University, Jinhua 321004, PR China;3. School of Mathematics, Southeast University, Nanjing 210096, PR China;4. Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518000, PR China;1. School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China;2. Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan 430205, China;3. Hubei Province Key Laboratory of Systems Science in Metallurgical Process(Wuhan University of Science and Technology), Wuhan 430081, China;1. College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;2. Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu, 241000, China;3. School of Marine Engineering, Jimei University, China;4. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211000, China |
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| Abstract: | In this paper, the secure transmission issue of a remote estimation sensor network against eavesdropping is studied. A powerful eavesdropper overhears the measurement data sent through the communication channels between the sensors and the remote estimator, and estimates system state illegally, which threatens the system information security. Different from the existing anti-eavesdropping design approaches, a stealthy artificial noise (AN) strategy is proposed to prevent eavesdroppers from deciphering encryption policy by hiding the encryption process from eavesdroppers. It has the same dynamical process with each sensor’s measurement to guarantee that the estimation error of the eavesdropper is unbounded while its observation residual variance keeps in certain bound and converges to 0, and further ensure system security without alerting the eavesdropper. It is proved that the strategy is feasible whenever the eavesdropper starts to wiretap. The selection of sensors that needs to be encrypted is further given by solving an optimization problem. The effectiveness of the proposed algorithm is verified by two simulation examples. |
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