False data filtering scheme based on trust management mechanism in wireless sensor networks

doi:10.11772/j.issn.1001-9081.2014.06.1567

Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (6): 1567-1572.DOI: 10.11772/j.issn.1001-9081.2014.06.1567

• Network and communications • Previous Articles Next Articles

False data filtering scheme based on trust management mechanism in wireless sensor networks

CAO Yanhua¹,ZHANG Zhiming¹,YU Min²

1. School of Software, Jiangxi Normal University, Nanchang Jiangxi 330022, China;
2. Journal of Jiangxi Normal University, Jiangxi Normal University, Nanchang Jiangxi 330027, China

Received:2013-11-11 Revised:2013-12-25 Online:2014-07-02 Published:2014-06-01
Contact: CAO Yanhua

基于信任管理机制的无线传感器网络虚假数据过滤方案

曹燕华¹,章志明¹,余敏²

1. 江西师范大学软件学院, 南昌 330022
2. 江西师范大学学报杂志社, 南昌 330027

通讯作者: 曹燕华
作者简介:曹燕华(1985-),女,安徽芜湖人,硕士研究生,主要研究方向:无线传感器网络安全;章志明(1978-),男,江西临川人,副教授,主要研究方向:网络信息安全、无线传感器网络安全;余敏(1964-),女,江西丰城人,教授,主要研究方向:无线传感器网络、分布式系统与移动计算、信息安全。
基金资助:
国家自然科学基金资助项目;江西师范大学青年基金资助项目

Abstract

Abstract:

In the traditional false data filtering schemes of Wireless Sensor Networks (WSN), only the false data reports are filtered, while the compromised nodes still can continuously inject false data to WSN which wastes network resources. In order to cut off the source of false data generating, a new false data filtering scheme based on trust management mechanism was proposed. The conspiracy forged false data generated from multiple captured nodes were limited within a cluster by using clustering method, then the trust management mechanism was used to detect whether the node was compromised, hence isolated the compromised node. The analysis results show that the proposed scheme can not only filter false data effectively, but also isolate compromised nodes, and has a strong ability of tolerating compromised nodes.

摘要：

传统的无线传感器网络虚假数据过滤方案只对网络中的虚假数据报告进行过滤,网络中的妥协节点依然可以不断向网络中注入虚假数据,耗费网络资源。为了掐断虚假数据包产生的源头,提出了一种基于信任管理的虚假数据过滤方案。该方案通过分簇的方式,将多个被俘获的节点合谋伪造的虚假数据报告限定在一个簇内,同时引入信任管理机制来检测节点是否被妥协,从而隔离妥协节点。分析结果表明,该方案不仅能有效过滤虚假数据,还能隔离妥协节点,且具备很强的妥协容忍能力。

CLC Number:

TP393

CAO Yanhua ZHANG Zhiming YU Min. False data filtering scheme based on trust management mechanism in wireless sensor networks[J]. Journal of Computer Applications, 2014, 34(6): 1567-1572.

曹燕华章志明余敏. 基于信任管理机制的无线传感器网络虚假数据过滤方案[J]. 计算机应用, 2014, 34(6): 1567-1572.

References

[1]YE F, LUO H, ZHANG L. Statistical en-route filtering of injected false data in sensor networks[C]// Proceedings of the 23th Annual Joint Conference of the IEEE Computer and Communications Societies. Piscataway: IEEE Press, 2005:839-850.
[2]ZHU S, SETIA S, JAJODIA S. An interleaved hop-by-hop authentication scheme for filtering of injected false data in sensor networks[C]// Proceedings of the 2004 IEEE Symposium on Security and Privacy. Piscataway: IEEE Press, 2004:259-271.
[3]YU Z, GUAN Y. A dynamic en-route scheme for filtering false data injection in wireless sensor networks[C]// Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems. Piscataway: IEEE Press, 2006:1-12.
[4]LIU Z, WANG J. Geographical information based false report filtering scheme in wireless sensor networks[J]. Journal of Communications, 2012,33(2):156-163. (刘志雄,王建新. 传感器网络中一种基于地理位置的虚假数据过滤方案[J]. 通信学报,2012,33(2):156-163.)
[5]YANG H, LU S. Commutative cipher based en-route filtering in wireless sensor networks[C]// VTC2004-Fall: Proceedings of the 2004 IEEE 60th Vehicular Technology Conference. Piscataway: IEEE Press, 2004:1223-1227.
[6]REN K, LOU W, ZHANG Y. LEDS: providing location-aware end-to-end data security in wireless sensor networks[J]. IEEE Transactions on Mobile Computing, 2008,7(5):585-598.
[7]YI Y, LIN Y, LI X, et al. False data filtering algorithm using cooperation watermarks for WSN [J]. Journal of Software, 2010,21(1):107-118. (易叶青,林亚平,李小龙,等. WSN中基于协作水印的虚假数据过滤算法[J]. 软件学报,2010,21(1):107-118.)
[8]LIU Z, WANG J, ZHANG X. A false data filtering scheme using cluster-based organization in sensor networks[C]// Proceedings of the 2011 IEEE International Conference on Communications. Piscataway: IEEE Press, 2011:1-5.
[9]YANG S, LIU P, YI Y. Robust authentication scheme for filtering false data in sensor networks[J]. Chinese Journal of Sensors and Actuators, 2008,21(5):858-864.(羊四清,刘平,易叶青. 传感器网络中一种过滤虚假数据的鲁棒认证机制[J]. 传感技术学报,2008,21(5):858-864.)
[10]CHRISTOPH K, MARKUS S, KPATCHA B, et al. STEF: a secure ticket-based en-route filtering scheme for wireless sensor networks[C]// ARES 2007: Proceedings of the 2nd International Conference on Availability, Reliability and Security. Piscataway: IEEE Press, 2007:310-317.
[11]LI F, WU J. A probabilistic voting-based filtering scheme in wireless sensor networks[C]// IWCMC 2006: Proceedings of the 2006 International Conference on Wireless Communications and Mobile Computing. New York: ACM Press, 2006:27-32.
[12]ZHANG W, TRAN M, ZHU S, et al. A random perturbation-based pairwise key establishment scheme for sensor networks[C]// Proceedings of the 8th ACM International Symposium on Mobile Ad Hoc Networking and Computing. New York: ACM Press, 2007: 90-99.
[13]ZHANG W, SUBRAMANIAN N, WANG G. Light-weight and compromise-resilient message authentication in sensor networks [C]// Proceedings of the 27th IEEE Computer and Communications Societies. Washington, DC: IEEE Computer Society, 2008:1418-1426.
[14]MAO G, FIDAN B, ANDERSON B. Wireless sensor network localization techniques [J]. The International Journal of Computer and Telecommunications Networking, 2007,51(10):2529-2553.
[15]PERRIG A, TYGAR J D, SONG D, et al. Efficient authentication and signing of multicast streams over lossy channels[C]// S&P 2000: Proceedings of the 2000 IEEE Symposium on Security and Privacy. Piscataway: IEEE Press, 2000: 56-73.
[16]LI M, MIAO F, XIONG Y. WSN pre-distribution key management scheme based on cluster[J]. Computer Engineering, 2011,37(5): 1-4. (李明,苗付友,熊焰. 一种基于簇的WSN 预分配密钥管理机制[J]. 计算机工程,2011,37(5): 1-4.)
[17]JING Q, TANG L, CHEN Z. Trust management in wireless sensor networks[J]. Journal of Software, 2008,19(7):1716-1730. (荆琦,唐礼勇,陈钟. 无线传感器网络中的信任管理[J]. 软件学报,2008,19(7):1716-1730.)

False data filtering scheme based on trust management mechanism in wireless sensor networks

基于信任管理机制的无线传感器网络虚假数据过滤方案

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