基于链接的无线传感器网络簇中可信模型

doi:10.6040/j.issn.1672-3961.0.2013.286

摘要/Abstract

摘要： 通过引入社会网络中链接的概念,提出1种无线传感器网络簇中可信模型,以更有效地检测非正常节点。模型把对节点的信任分成持久信任和即时信任,在即时信任和持久信任的基础上计算每个节点的信誉,利用信誉检测非正常节点。通过实验分析了阀值的取值并将本研究模型与其他模型进行比较。实验结果表明,在检测非正常节点方面,基于链接的簇中可信模型比GTMS(group-based trust management scheme)和RFSN(reputation-based framework for sensor network)更为优秀。

关键词: 链接, 非正常节点检测, 无线传感器网络, 信任, 信誉, 簇

Abstract: The trusted cluster model for wireless sensor network was proposed to detect the abnormal nodes effectively by using link of social network. Trust was divided into permanent trust and temporary trust. Each nodes reputation was calculated to detect the abnormal nodes combining permanent trust with temporary trust. In the experiments, the threshold value was discussed and the proposed model was compared with other models. The results showed the link-based trusted cluster model for wireless sensor network was better than GTMS(group-based trust management scheme)and RFSN(reputation-based framework for sensor network)in detecting the abnormal nodes.

Key words: cluster, link, wireless sensor network, trust, detection of abnormal node, reputation

中图分类号:

TP391

程添亮, 翟玉庆. 基于链接的无线传感器网络簇中可信模型[J]. 山东大学学报(工学版), 2014, 44(5): 29-34.

CHENG Tianliang, ZHAI Yuqing. Link-based trusted cluster model for wireless sensor network[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(5): 29-34.

参考文献

[1] AKYILDIZ I F, SU W, SANKARASUBRAMANIAM Y, et al.Wireless sensor networks: a survey[J].Computer Networks, 2002, 38(4):393-422.
[2] HAENGGI M, REUTHER A I, GOODMAN J I, et al.Handbook of sensor networks:compact wireless and wired sensing systems[M].Boca Raton:CRC Press, 2004:27-59.
[3] POTTIE G J, KAISER W J.Wireless integrated network sensors[J].Communications of the ACM, 2000, 43(5):51-58.
[4] SU W T, CHANG K M, KUO Y H.eHIP:an energy-efficient hybrid intrusion prohibition system for cluster-based wireless sensor networks[J].Computer Networks, 2007, 51(4):1151-1168.
[5] YAO Z, KIM D, DOH Y.PLUS:parameterized and localized trust management scheme for sensor networks security[C]//Mobile Ad Hoc and Sensor Systems (MASS).Hong Kong:Springer, 2006:437-446.
[6] FENG R, XU X, ZHOU X, et al.A trust evaluation algorithm for wireless sensor networks based on node behaviors and D-S evidence theory[J].Sensors, 2011, 11(2):1345-1360.
[7] YICK J, MUKHERJEE B, GHOSAL D.Wireless sensor network survey[J].Computer Networks, 2008, 52(12):2292-2330.
[8] KIM T K, SEO H S.A trust model using fuzzy logic in wireless sensor networks[J].World Academy of Science, Engineering and Technology, 2008, 42(4):63-66.
[9] GANERIWAL S, SRIVASTAVA M B.Reputation-based framework for high integrity sensor networks[C]//Proceedings of the 2nd ACM Workshop on Security of Ad Hoc and Sensor Networks.New York:ACM, 2004:66-77.
[10] SHAIKH R A, JAMEEL H, D'AURIOL B J, et al.Group-based trust management scheme for clustered wireless sensor networks[J].IEEE Transactions on Parallel and Distributed Systems, 2009, 20(11):1698-1712.
[11] ZAHARIADIS T, LELIGOU H C, TRAKADAS P, et al.Trust management in wireless sensor networks[J].European Transactions on Telecommunications, 2010, 21(4):386-395.
[12] LIU D, NING P, DU W.Detecting malicious beacon nodes for secure location discovery in wireless sensor networks[C]//Proceedings of the 25th IEEE International Conference on Distributed Computing Systems.Washington, D C, USA:IEEE, 2005:609-619.
[13] CHO Y, QU G, WU Y.Insider threats against trust mechanism with watchdog and defending approaches in wireless sensor networks[C]//IEEE Symposium on Security and Privacy Workshops (SPW) San Francisco.CA, USA:IEEE, 2012:134-141.
[14] PIRESJR W R, DE PAULA FIGUEIREDO T H, WONG H C, et al.Malicious node detection in wireless sensor networks[C]//Proceedings of the 18th Conference on International Parallel and Distributed Processing Symposium.[S.l]:IEEE, 2004:24-35.
[15] VARLAMIS I, EIRINAKI M, LOUTA M.Application of social network metrics to a trust-aware collaborative model for generating personalized user recommendations [M].Vienna:Springer, 2013:49-74.
[16] VARLAMIS I, LOUTA M.Towards a personalized blog site recommendation system:a collaborative rating approach[C]//4th International Workshop on Semantic Media Adaptation and Personalization.San Sebastain, Spain:IEEE, 2009:38-43.
[17] KALE A.Modeling trust and influence on blogosphere using link polarity[D].Washington:MaryLand University, 2007.
[18] MASSA P, AVESANI P.Controversial users demand local trust metrics:an experimental study on Epinions.com community[C]//Proceedings of the National Conference on Artificial Intelligence.Menlo Park, CA:AAAI Press, 2005:121-127.
[19] YU B, SINGH M P.A social mechanism of reputation management in electronic communities [M]//Cooperative Information Agents IV-The Future of Information Agents in Cyberspace.Berlin:Springer, 2000:154-165.
[20] 张润萌.基于可信机制的个性化推荐技术及其应用研究[D].南京:东南大学, 2011.ZHANG Runmeng.Personalized recommendation technology and its application based on credible mechanism[D].Nanjing:Southeast University, 2011.
[21] 孔德华.基于信任的云服务推荐系统的研究与实现[D].南京:东南大学,2013.KONG Dehua.Research and implementation of a trusted recommendation system based on cloud services[D].Nanjing:Southeast University, 2013.
[22] 张彭成.基于信任的云服务组合机制的研究[D].南京:东南大学,2013.ZHANG Pengcheng.A combination of cloud services mechanism based on trust[D].Nanjing:Southeast University, 2013.
[23] Leon Gu.Dirichlet distribution, dirichlet process and dirichlet process Mixture[R/OL].[2013-10-10].http://www.cs.cmu.edu/～epxing/Class/10701-08s/recitation/dirichlet.pdf.
[24] WERNER-ALLEN G, JOHNSON J, RUIZ M, et al.Monitoring volcanic eruptions with a wireless sensor network[C]//Proceedings of the Second European Workshop on Wireless Sensor Networks.Turkey:IEEE, 2005:108-120.
[25] ZHANG Y, LEE W.Intrusion detection in wireless ad-hoc networks[C]//Proceedings of the 6th Annual International Conference on Mobile Computing and Networking.Boston:ACM, 2000:275-283.

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