【学术讲座】海外学者专题报告会

海外学者专题报告会

地点：机电信息楼1104

时间：10月25日上午10点-12点

 

 

1.Title: Privacy-preserving Average Consensus: Theory and Algorithm

 

Abstract: The goal of the privacy-preserving average consensus (PPAC) is to guarantee the privacy of initial states and asymptotic consensus on the exact average of the initial value. This goal is achieved by an existing PPAC algorithm by adding and subtracting variance decaying and zero-sum random noises to the consensus process. However, there is lack of theoretical analysis to quantify the degree of the privacy protection. In this talk, we analyze the privacy of the PPAC algorithm in the sense of the maximum disclosure probability that the other nodes can infer one node's initial state within a given small interval. We first introduce a privacy definition, named (ϵ,σ)-data-privacy, to depict the maximum disclosure probability. We prove that PPAC provides (ϵ,σ)-data-privacy, and obtain the closed-form expression of the relationship between ϵ and σ. We also prove that the added noise with uniform distribution is optimal in terms of achieving the highest (ϵ,σ)-data-privacy. Then, we prove that the disclosure probability will converge to one when all information used in the consensus process is available, i.e., the privacy is compromised. Finally, we propose an optimal privacy-preserving average consensus (OPAC) algorithm to achieve the highest (ϵ,σ)-data-privacy. Simulations are conducted to verify the results.

 

主讲人：Biography: Jianping He (M’15) received the Ph.D. degree in control science and engineering from Zhejiang University, Hangzhou, China, in 2013. He is currently an Associate Research Fellow with the Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada. His current research interests include the control and optimization of cyber-physical systems, the scheduling and optimization in VANETs and social networks, and the investment decision in financial market and electricity market. Dr. He serves as an Associate Editor for the KSII Transactions on Internet and Information Systems. He is also a Guest Editor of the International Journal of Robust and Nonlinear Control, Neurocomputing, and the International Journal of Distributed Senor Networks. He is the winner of Outstanding Thesis Award, Chinese Association of Automation, 2015.

 

2.Title: Defending Against False Data Injection Attacks on Power System State Estimation

 

Abstract: This talk investigates the problem of defending against false data injection (FDI) attacks on power system state estimation. Although many research works have been previously reported on addressing the same problem, yet most of them made a very strong assumption that some meter measurements can be absolutely protected. To address the problem practically, a reasonable approach is to assume whether or not a meter measurement could be compromised by an adversary does depend on the defense budget deployed by the defender on the meter. From this perspective, our contributions focus on designing the least-budget defense strategy to protect power systems against FDI attacks. In addition, we also extend to investigate choosing which meters to be protected and determining how much defense budget to be deployed on each of these meters. We further formulate the meter selection problem as a mixed integer nonlinear programming problem, which can be efficiently tackled by Benders’ Decomposition. Finally, extensive simulations are conducted on IEEE test power systems to demonstrate the advantages of the proposed approach in terms of computing time and solution quality, especially for large-scale power systems.

 

主讲人：Biography: Ruilong Deng (S’11-M’14) received the B.Sc. and Ph.D. degrees both in Control Science and Engineering from Zhejiang University, China, in 2009 and 2014, respectively. He was a Visiting Scholar at Simula Research Laboratory, Norway, in 2011, and the University of Waterloo, Canada, from 2012 to 2013. He was a Research Fellow at Nanyang Technological University, Singapore, from 2014 to 2015. Currently, he is an AITF Postdoctoral Fellow with the Department of Electrical and Computer Engineering, University of Alberta, Canada. His research interests include smart grid, cyber security, and wireless sensor network. Dr. Deng currently serves as an Editor for IEEE/KICS Journal of Communications and Networks, and a Guest Editor for IEEE Transactions on Emerging Topics in Computing and Journal of Computer Networks and Communications (Hindawi). He also serves/served as a Technical Program Committee (TPC) Member for IEEE GLOBECOM, IEEE ICC, IEEE SmartGridComm, EAI SGSC, etc. He is the recipient of IEEE PES-GM 2016 Best Conference Papers Award, and the author of 3 ESI Highly Cited Papers. 

 

主持人：贺威教授

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