一种具有概率预测机制的无线传感器网络安全路由协议

doi:10.3969/j.issn.1001-2400.2011.06.001

J4 ›› 2011, Vol. 38 ›› Issue (6): 1-7.doi: 10.3969/j.issn.1001-2400.2011.06.001

• 研究论文 • 下一篇

一种具有概率预测机制的无线传感器网络安全路由协议

唐迪¹;杨小牛²;李建东¹

(1. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071；
2. 通信系统信息控制技术国家级重点实验室，浙江嘉兴 314000)

收稿日期:2010-09-07 出版日期:2011-12-20 发布日期:2011-11-29
通讯作者: 唐迪
作者简介:唐迪(1983-)，男，西安电子科技大学博士研究生，E-mail: ditonytang@gmail.com
基金资助:
国家杰出青年科学基金资助项目(60725105);国家973计划资助项目(2009CB320404);长江学者和创新团队发展计划(“PCSIRT”)资助项目;国家863计划资助项目(2007AA01Z217);国家自然科学基金资助项目(60572146);中电36所通信系统信息控制技术国家级重点实验室资助项目和高等学校科学创新引智计划基金资助项目(B08038)

Secure routing protocol based on probability in sensor networks

TANG Di1;YANG Xiaoniu2;LI Jiandong1

(1. State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071， China;
2. National Lab. of Information Control Tech. for Communication System, Jiaxing 314033， China)

Received:2010-09-07 Online:2011-12-20 Published:2011-11-29
Contact: TANG Di

摘要/Abstract

摘要：

针对传统入侵检测机制不能及时发现捕获节点的问题，提出一种基于捕获概率预测的安全路由协议．该协议将网络划分为多个虚拟网格，同时利用地理位置信息和入侵检测信息建立网格被捕获概率的预测模型，并计算网格和节点的被捕获概率，从而在分组路由过程中绕过未被发现的被捕获节点．理论分析和仿真结果表明，该协议能够有效避免选择被捕获的网格作为中继网格，减少网络中被捕获信息的数量,提高数据成功传输率．

关键词: 无线传感器网络, 安全, 路由协议, 捕获概率, 预测, 中继网格

Abstract:

In wireless sensor networks, the traditional intrusion detection can not detect the compromised nodes immediately. In this paper, we propose a secure routing protocol (Secure Relay Grid Routing Protocol) based on probability prediction to solve this problem. In the protocol, the network is divided into different small grids. Utilizing the geographic information and intrusion detection information, the proposed protocol is designed with a routing metric which is based on a mathematical prediction model. The routing metric could guarantee that the message detours those compromised grids that have not been detected by the intrusion detection. Theoretical analysis and OPNET simulation results show that the proposed protocol can provide a high delivery ratio and decrease the number of the compromised packets.

Key words: wireless sensor network, security, routing protocol, compromised probability, prediction, relay grid

中图分类号:

TP393.08

唐迪;杨小牛;李建东. 一种具有概率预测机制的无线传感器网络安全路由协议[J]. J4, 2011, 38(6): 1-7.

TANG Di;YANG Xiaoniu;LI Jiandong. Secure routing protocol based on probability in sensor networks[J]. J4, 2011, 38(6): 1-7.

参考文献

［1］ Chen Xiangqian, Makki K, Yen K, et al. N. Sensor Network Security: A Survey ［J］. IEEE Communications Surveys ＆ Tutorials, 2009, 11(2): 52-73.
［2］ Karlof C, Wagner D. Secure Routing in Wireless Sensor Networks: Attacks and Countermeasures［C］//Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications. Alaska: IEEE, 2003: 113-127.
［3］ Chen Xiangqian, Makki K, Yen K, et al. Attack Distribution Modeling and Its Applications in Sensor Network Security［J/OL］. ［2009-11-15］. http://dl.acm.org/citation.cfm?id=1387787＆bnc=1.
［4］ Du Xiaojiang, Guizani M, Xiao Yang, et al. A Routing-driven Elliptic Curve Cryptography Based Key Management Scheme for Heterogeneous Sensor Networks［J］. IEEE Trans on Wireless Communications, 2009, 8(3): 1223-1229.
［5］ Abuhelaleh M A, Mismar T M, Abuzneid A A. Armor-LEACH—Energy Efficient, Secure Wireless Networks Communication［C］//Proceedings of the 17th International Conference on Computer Communications and Networks (ICCCN'08). Virgin Islands: IEEE, 2008: 1-7.
［6］ Traynor P, Cao Guohong, La Porta T. The Effects of Probabilistic Key Management on Secure Routing in Sensor Networks［C］//IEEE Wireless Communications and Networking Conference (WCNC 2006). Las Vegas: IEEE, 2006: 659-664.
［7］ Jiang Yuanxi, Zhao Baohua. A Secure Routing Protocol with Malicious Nodes Detecting and Diagnosing Mechanism for Wireless Sensor Networks［C］//Proceeding of the 2nd IEEE Asia-Pacific Service Computing Conference. Tsukuba Science City: IEEE, 2007: 49-55.
［8］ Liu Fang, Cheng Xiuzhen, Chen Dengchang. Insider Attacker Detection in Wireless Sensor Networks［C］//Proceeding of the 26th Annual IEEE Conference on Computer Communications (INFOCOM'07). Anchorage: IEEE, 2007: 1937-1945.
［9］ Lin Xiaodong. CAT: Building Couples to Early Detect Node Compromise Attack in Wireless Sensor Networks［C］//IEEE Global Telecommunications Conference (GLOBECOM 2009). Hawaii: IEEE, 2009: 1-6.
［10］ Stetsko A, Folkman L, Matyas V. Neighbor-Based Intrusion Detection for Wireless Sensor Networks［C］//Proceeding of the 6th IEEE International Conference on Wireless and Mobile Communications (ICWMC). Valencia: IEEE, 2010: 420-425.
［11］ Wang Yong, Ramamurthy B. Group Rekeying Schemes for Secure Group Communication in Wireless Sensor Networks Communications［C］//Proceedings of the IEEE International Conference on Communications (ICC'07). Glasgow: IEEE, 2007: 3419-3424.
［12］ Capkun S, Hubaux J P. Secure Positioning of Wireless Devices with Application to Sensor Networks［C］//Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM'05). Miami: IEEE, 2005: 1917-1928.
［13］刘文菊, 刘志宏, 裴庆祺, 等. 传感器网络密钥传播与进化［J］. 西安电子科技大学学报, 2010, 37(3): 547-553.
Liu Wenju, Liu Zhihong, Pei Qingqi, et al. Key Infection and Evolution for Sensor Networks［J］. Journal of Xidian University, 2010, 37(3): 547-553.

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一种具有概率预测机制的无线传感器网络安全路由协议

Secure routing protocol based on probability in sensor networks

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