WSN中基于目标决策的源位置隐私保护方案

doi:10.11896/jsjkx.200400099

计算机科学 ›› 2021, Vol. 48 ›› Issue (5): 334-340.doi: 10.11896/jsjkx.200400099

• 信息安全 • 上一篇

WSN中基于目标决策的源位置隐私保护方案

郭蕊, 芦天亮, 杜彦辉

中国人民公安大学信息网络安全学院北京100038

收稿日期:2020-04-22 修回日期:2020-07-07 出版日期:2021-05-15 发布日期:2021-05-09
通讯作者: 芦天亮(lutianliang@ppsuc.edu.cn)
基金资助:
国家重点研发计划(20190178);中国人民公安大学2019年基本科研业务费重大项目(2019JKF108)

Source-location Privacy Protection Scheme Based on Target Decision in WSN

GUO Rui, LU Tian-liang, DU Yan-hui

College of Police Information Engineering and Network Security,People's Public Security University of China,Beijing 100038,China

Received:2020-04-22 Revised:2020-07-07 Online:2021-05-15 Published:2021-05-09
About author:GUO Rui,born in 1996,master.Her main research interests include IoT security and information security.(2103008108@qq.com)
LU Tian-liang,born in 1985,Ph.D,associate professor,is a member of China Computer Federation.His main research interests include cyber security and artificial intelligence.
Supported by:
National Key R & D Program of China(20190178) and Fundamental Research Funds for the Central Universities of PPSUC(2019JKF108).

摘要/Abstract

摘要： 针对现有基于幻影源的无线传感网(Wireless Sensor Network,WSN)的源位置隐私保护方案,普遍存在无法有效平衡源位置隐私安全性、网络生存周期和传输延迟之间的矛盾关系的问题,提出了一种基于目标决策的幻影源分散路由方案PSSR(Phantom Source Separate path Routing)。该方案采用分段定象随机游走来确定幻影节点的位置,在保证幻影源距离真实源可视区足够远的同时,实现了幻影源位置的多样性,增大了攻击者定位源位置的难度。除此之外,该方案通过考虑节点的能量消耗、剩余能量及其到基站的距离来选取转发节点,实现了低概率重复分散路由的构建,有效平衡了源位置隐私安全性、网络生存周期和传输延迟之间的矛盾关系。仿真实验结果表明,相比EPUSBRF方案、PRLA方案和MPRP方案,PSSR方案在增强源位置隐私安全性的同时,能够有效延长网络生存周期和降低传输延迟。

关键词: 分散路由, 幻影源, 无线传感网, 隐私保护, 源位置

Abstract: Aiming at the problem that the existing schemes of Wireless Sensor Network(WSN) source-location privacy protection based on phantom source can not effectively balance the contradiction among source location privacy security,network life cycle and transmission delay,a phantom source separate path routing scheme (PSSR) based on target decision is proposed.In PSSR scheme,the phantom node location is determined by random walk of segmented fixed image,which ensures that the phantom source is far enough from the real source visible area,and at the same time realizes the diversity of phantom source location,which increases the difficulty of attacker locating the source location.In addition,by considering the energy consumption of the node,the remaining energy and the distance from the node to the base station,the forwarding node is selected to realize the construction of low probability repeated and decentralized routing,effectively balancing the contradiction among the source location privacy security,network life cycle and transmission delay.Compared with EPUSBRF,PRLA and MPRP,PSSR can not only enhance the source location privacy security,but also effectively prolong the network lifetime and reduce the transmission delay.

Key words: Phantom source, Privacy protection, Separate path routing, Source-location, Wireless sensor network

中图分类号:

TN929.5

郭蕊, 芦天亮, 杜彦辉. WSN中基于目标决策的源位置隐私保护方案[J]. 计算机科学, 2021, 48(5): 334-340. https://doi.org/10.11896/jsjkx.200400099

GUO Rui, LU Tian-liang, DU Yan-hui. Source-location Privacy Protection Scheme Based on Target Decision in WSN[J]. Computer Science, 2021, 48(5): 334-340. https://doi.org/10.11896/jsjkx.200400099

参考文献

[1]PENG H,CHEN H,ZHANG X Y,et al.Location privacy preservation in wireless sensor networks[J].Journal of Software,2015,26(3):617-639.
[2]OZTURK C,ZHANG Y,TRAPPE W.Source-location privacy in energy constrained sensor network routing[C]//Proceedings of the 2nd ACM Workshop on Security of Ad Hoc and Sensor Networks.ACM,2004:88-93.
[3]KAMAT P,ZHANG Y,TRAPPE W,et al.Enhancing source location privacy in sensor network routing[C]//25th IEEE International Conference on Distributed Computing Systems(ICDCS 2005).IEEE,2005:599-608.
[4]CHEN J,FANG B X,YIN L H,et al.A Source-Location Privacy Preservation Protocol in Wireless Sensor Networks Using Source-Based Restricted Flooding[J].Chinese Journal of Computers,2010,33(9):1736-1747.
[5]YAO J,WEN G.Preserving source-location privacy in energy-constrained wireless sensor networks[C]//Proceedings of the 28th International Conference on Distributed Computing Systems Workshops.2008:412-416.
[6]LI Y,LIGHTFOOT L,REN J.Routing-based source-locationprivacy protection in wireless sensor networks[C]//2009 IEEE International Conference on Electro/Information Technology.Windsor,Ontario,Canada:IEEE,2009:29-34.
[7]WANG W P,CHEN L,WANG J X.A source-location privacyprotocol in WSN based on locational angle[C]//Proceedings of IEEE International Conference on Communications.2008:1630-1634.
[8]LONG J,DONG M,OTA K,et al.Achieving source location privacy and network lifetime maximization through tree-based diversionary routing in wireless sensor networks[J].IEEE Access,2014,2(10):633-651.
[9]KUMAR P,SINGH J P,VISHNOI P,et al.Source location privacy using multiple-phantom nodes in WSN[C]//Proceedings of the Tencon.2015:1-6.
[10]XU Y,CHA Q M,KE M Y,et al.Phantom routing design for source location protection[J].Computer Engineering and Applications,2018,54(19):88-93.
[11]LIU X J,LI J,LI B.Source-Location Privacy Protocol Based on the Minimum Cost Routing[J].Chinese Journal of Sensors and Actuators,2014,27(3):394-400.
[12]YAO J.Source- location privacy based on directed greedy walk in wireless sensor networks[C]//Proceedings of International Conference on Wireless Communications Networking and Mobile Computing.2010:1-4.
[13]ZHOU C,HU X H.Phantom routing privacy protocol based on directed random in WSN[J].Application Research of Computers,2018,35(10):3109-3112.
[14]HUANG J,SUN M S,ZHU S T,et al.A source-location privacyprotection strategy via pseudo normal distribution-based phantom routing in WSNs[C]//Proceedings of the 30th Annual ACM Symposium on Applied Computing.2015:688-694.
[15]JIA Z P,WEI X J,PENG W P.Privacy Protection strategyabout source location in WSNs based on random angle and circumferential routing[J].Application Research of Computers,2016,33(3):886-890.
[16]LIGHTFOOT L,LI Y,REN J.Preserving Source-Location Privacy in Wireless Sensor Network Using STaR Routing[C]//Global Telecommunications Conference (GLOBECOM 2010).2010 IEEE.IEEE,2011.Miami,FL,2010:1-5.
[17]MANJULA R,RAJA DATTA.A novel source location privacy preservation technique to achieve enhanced privacy and network lifetime in WSNs[J].Pervasive and Mobile Computing,2018,44:58-73.
[18]LIU G F,XIAO Y.RSSI positioning method based on improved flower pollination algorithm[J].Transducer and Microsystem Technologies,2019,38(11):42-45.

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WSN中基于目标决策的源位置隐私保护方案

Source-location Privacy Protection Scheme Based on Target Decision in WSN

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