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Hiding Contextual Information for Defending a Global Attacker
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Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院

Journal:IEEE ACCESS

Key Words:Wireless sensor network global attacker contextual information location privacy random walk information privacy

Abstract:As wireless sensor networks are mostly deployed in harsh and hostile environments, lack of human maintenance, it has become a severe challenge to offer security or privacy service, especially when facing a powerful attacker. For defending a global attacker, dummy message injection methods are employed by every node in WSN to enhance location privacy, which leads to significant overhead. Based on random walk model, we propose a novel scheme Chess-Board Alternation (CBA) which partition WSN into two sets, and each set operates active in an alternating fashion. We also prove CBA's outstanding performance, including delivery time, energy consumption, and privacy theoretically and experimentally. In comparison with existing approaches, CBA can not only achieve perfect privacy but also decrease energy cost by 50% and the transmission latency from the source to the sink by more than 40%.

ISSN No.:2169-3536

Translation or Not:no

Date of Publication:2018-01-01

Co-author:Zhou, Qian,Xie, Xiaojun

Correspondence Author:qxz

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Professor

Gender:Male

Alma Mater:南京航空学院

Education Level:Graduate with a professional diploma

Degree:Master's Degree in Engineering

School/Department:College of Computer Science and Technology

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