基于安全区域的汇聚节点位置隐私保护协议算法设计

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (12): 2973-2980.

基于安全区域的汇聚节点位置隐私保护协议算法设计

李沛谕, 张治学

河南科技大学网络信息中心,河南洛阳 471003

收稿日期:2014-07-04 修回日期:2015-04-23 出版日期:2015-12-08 发布日期:2020-07-30
作者简介:李沛谕(1988-),女,河南南阳,硕士,助教,研究方向为网络性能改善、网络与信息安全与数据分析;张治学(1963-),男,四川达州,实验师,研究方向为网络性能改善与数据挖掘。
基金资助:
河南省科技攻关项目(112102210186); 河南省科技厅重点攻关项目(132102210246)

Protocol Algorithm Design of Location Privacy Preserving for Sink Node Based on Security Area

Li Peiyu, Zhang Zhixue

Network Information Center of Henan University of Science and Technology, Luoyang 471003, China

Received:2014-07-04 Revised:2015-04-23 Online:2015-12-08 Published:2020-07-30

摘要/Abstract

摘要： 针对无线传感器网络汇聚节点位置隐私安全问题,提出了一种基于安全区域的动态路由算法,通过在非安全区域内向安全区域概率性发送数据包与虚假数据包以及在汇聚节点周围形成环形汇聚区域等方法保护汇聚节点的位置信息。对提出的动态路由算法与现有的汇聚节点隐私保护算法进行性能比较,网络仿真实验结果显示本路由算法具有能耗小,网络时延小,数据传送成功率高等优点,可以实现汇聚节点位置隐私安全和网络能耗之间的较好均衡。

关键词: 位置隐私保护, 虚假包, 安全区域, 环形汇聚区域

Abstract: In view of problems appear in location privacy protection for sink node of wireless sensor networks, a location privacy preserving routing algorithm for sink node based on security area was proposed. This protocol protected location privacy of sink node through methods such as sending real package or fake package probabilistic from safe area to unsafe area and forming a circular sink area around the sink node. Performance evaluation was compared between this proposed dynamic routing algorithm and existing one. Network simulation results show that the routing algorithm has advantages such as low energy consumption, small network delay, and high data transmission rate, and it can also make a good balance between location privacy protection of sink node and network energy consumption.

Key words: location privacy protection, fake package, secure area, circular sink area

中图分类号:

TP393

李沛谕, 张治学. 基于安全区域的汇聚节点位置隐私保护协议算法设计[J]. 系统仿真学报, 2015, 27(12): 2973-2980.

Li Peiyu, Zhang Zhixue. Protocol Algorithm Design of Location Privacy Preserving for Sink Node Based on Security Area[J]. Journal of System Simulation, 2015, 27(12): 2973-2980.

参考文献

[1] Kamat P, Zhang Y, Trappe W, et al. Enhancing source-location privacy in sensor network routing[C]// Proceedings-25th IEEE International Conference on Distributed Computing Systems, Columbus, OH, USA. USA: IEEE, 2005: 599-608.
[2] Yao J, Wen G.Preserving source-location privacy in energy-constrained wireless sensor network[C]// Proceedings of the 28th International Conference on Distributed Computing Systems Workshops, Beijing, China. Beijing, China, Institute of Electrical and Electronics Engineers Inc, 2008: 412-416.
[3] Chen R, Yu C, Wu T.A Small-World Routing Protocol and the Effect of Pass-Over for Wireless Sensor Networks[J]. Wireless Personal Communications (S09296212), 2013, 68(4): 1493-1523.
[4] Zungeru A, Seng K, Ang L.Energy Efficiency Performance Improvements for Ant-Based Routing Algorithm in Wireless Sensor Networks[J]. Journal of Sensors (S1687725X), 2013(4):572-575.
[5] Intanagonwiwat C, Govindan R, Estrin D.Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks[C]// Proc. ACM MobiCom, 2000, Boston, MA, USA. USA: ACM, 2000: 56-67.
[6] Jian Y, Chen S, Zhang Z, et al. A Novel Scheme for Protecting Receiver's Location Privacy in Wireless Sensor Networks[J]. IEEE Transactions on Wireless Communications (S15361276), 2008, 7(10): 3769-3779.
[7] Jian Y, Chen S, Zhang Z, Zhang L.Protecting Receiver-Location Privacy in Wireless Sensor Networks[C]// IEEE INFOCOM 2007: 26th IEEE International Conference on Computer Communications, Anchorage, Anchorage, AK, USA. USA: IEEE, 2007: 1955-1963.
[8] Kiran M, Liu D, Matthew W.Location privacy in sensor network against a global eavesdropper[C]// 15th IEEE International Conference on Network Protocols, ICNP, China. USA: IEEE, 2007: 314-323.
[9] William C, Abdelzaher T, Nahrstedt K.Using Data Aggregation to Prevent Traffic Analysis in Wireless Sensor Networks[C]// 2nd IEEE International Conference - Distributed Computing in Sensor Systems, DCOSS 2006, San Francisco, CA, USA. USA: IEEE, 2006: 202-217.
[10] Chiu W, Chen B, Yang C.Robust relative location estimation in wireless sensor networks with inexact position problems[J]. IEEE Transactions on Mobile Computing (S15361233), 2012, 11(6): 935-946.
[11] Machanavajjhala A, Kifer D, Gehrke J, Venkitasubramaniam. L- diversity: Privacy beyond k-anonymity[J]. ACM Transactions on Knowledge Discovery from Data (TKDD)(S1556-4681), 2007, 1(3): 24-35.
[12] Marco G, Grunwald D.Anonymous usage of location-based and services through spatial and temporal cloaking[C]// Processing of the International Conference on Mobil e Systems, Applicat MobiSys. San Francisco, California, USA: International Conference on Mobile Systems, 2003: 163-168.
[13] Han JQ, Zhao W, Zheng M.An analytical model on unbalanced energy consumption in large scale wireless sensor network[C]// The 3rd International Conference on Measuring Technology and Mechatronics Automation, Shanghai, China. USA: IEEE, 2011: 375-378.
[14] Li FY, Li PY, Gao FX, et al. Location privacy protection for wireless sensor networks based on fan-shaped region[J]. Journal of Northeastern University (S10053026), 2013, 34(1): 21-24, 34.

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