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Balancing Security and Efficiency for Smart Metering against Misbehaving Collectors
发布时间:2017-12-04     来源:太阳成集团tyc4633   分享到:

报告题目: Balancing Security and Efficiency for Smart Metering against Misbehaving Collectors

报告人:Jianbing Ni 博士,滑铁卢大学,加拿大

时间: 2017年12月4日 16:00-18:00

地点: 文津楼三段 622报告厅

报告摘要: Smart grid enables two-way communications between smart meters and operation centers to collect real-time power consumption of customers to improve flexibility, reliability and efficiency of the power system. It brings serious privacy issues to customers, since the meter readings possibly expose customers' activities in the house. Data encryption can protect the readings, but lengthens the data size. Secure data aggregation improves communication efficiency and preserves customers' privacy, while fails to support dynamic billing, or offer integrity protection against public collectors, which may be hacked in reality. In this presentation, we define a new security model to formalize the misbehavior of collectors, in which the misbehaving collectors may launch pollution attacks to corrupt power consumption data. Under this model, we propose a novel privacy-preserving smart metering scheme to prevent pollution attacks for the balance of security and efficiency in smart grid. It achieves end-to-end security, data aggregation and integrity protection against the misbehaving collectors, which act as local gateways to collect and aggregate usage data and forward to operation centers. As a result, the misbehaving collectors cannot access or corrupt power usage data of customers. In addition, we design a dynamic billing mechanism based on individual power consumption maintained on collectors with the verification of customers. Our analysis shows that the proposed scheme achieves secure smart metering and verifiable dynamic billing against misbehaving collectors with low computational and communication overhead.

报告人介绍:Jianbing Ni is currently working toward the Ph. D. degree at Department of Electrical and Computer Engineering, University of Waterloo. He received the B.E. degree on Information Security and the M.E. degree on Computer Applied Technology from the School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China, in 2011 and 2014, respectively. His research interests are applied cryptography and network security; especially network where security and privacy are of great concern (e.g., autonomous driving, smart grid, mobile crowdsensing, fog computing and Internet-of-Things (IoT)). He has published over 30 Journal/conference papers, including high-quality journal papers, such as IEEE Transactions on Smart Grid, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, and mainstream conferences, such as Securecomm, IEEE GLOBECOM, IEEE ICC, NSS. He was the recipient of the WCSP 2017, Securecomm 2016, BWCCA 2015 Best Paper Award. He has been serving as many designated professional reviewers of high quality journals, such as IEEE JSAC, TSG, TMC, COMST, TVT and TCC, and TPC member for many conferences, such as ProvSec 2017, IEEE GLOBECOM 2015, 2016, 2017.