刘亮
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Energy-efficient and privacy-preserving spatial range aggregation query processing in wireless sensor networks
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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:Int. J. Distrib. Sens. Netw.

Abstract:The existing privacy-preserving aggregation query processing methods in sensor networks rely on pre-established network topology and require all nodes in the network to participate in query processing. Maintaining the topology results in a large amount of energy overhead, and in many cases, the user is interested only in the aggregated query results of some areas in the network, and thus, the participation of the entire network node is not necessary. Aiming to solve this problem, this article proposes a spatial range aggregation query algorithm for a dynamic sensor network with privacy protection (energy-efficient privacy-preserving data aggregation). The algorithm does not rely on the pre-established topology but considers only the query area that the user is interested in, abandoning all nodes to participate in distributing the query messages while gathering the sensory data in the query range. To protect node data privacy, Shamir’s secret sharing technology is used to prevent internal attackers from stealing the sensitive data of the surrounding nodes. The analysis and experimental results show that the proposed algorithm outperforms the existing algorithms in terms of energy and privacy protection. © The Author(s) 2019.

ISSN No.:1550-1329

Translation or Not:no

Date of Publication:2019-07-01

Co-author:Hu, Zhenhai,Wang Lisong

Correspondence Author:Liu Liang

Personal information

Associate Professor
Supervisor of Master's Candidates

Gender:Male

Education Level:南京航空航天大学

Degree:Doctoral Degree in Engineering

School/Department:College of Computer Science and Technology

Discipline:网络空间安全. 软件工程

Contact Information:liangliu@nuaa.edu.cn

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