基于物联网节点行为检测的信任评估方法

doi:10.3969/j.issn.1000-436x.2014.05.002

Abstract

Abstract:

Establishing a trust system, which considers energy efficiency and a trust metric aware both subjectivity and objectivity in the Internet of Things, is a powerful technique to defend against malicious attacks and improve the per-formance of network. A trust system based on behavior detection was proposed, which takes direct trust, recommended trust as well as history statistical trust into trust evaluation periodically and in communication. Recommended trust and history statistical trust were calculated by evidence combination and Bayes respectively. Simulation results show that nodes occur abnormal behavior could be quickly detected by the proposed trust system and the energy consumption of transmitting recommended trust was saved greatly.

Key words: Internet of Things, behavior detection, trust evaluation, energy consumption

Yan-bing LIU,Xue-hong GONG,Yan-fen FENG. Trust system based on node behavior detection in Internet of Things[J]. Journal on Communications, 2014, 35(5): 8-15.

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References 16

[1]	ATZORI L , IERA A , MORABITO G . The Internet of Things: a sur-vey[J]. Computer Networks, 2010,54(15):2787-2805.
[2]	ROMANA R , ZHOUA J , LOPEZB J . On the features and challenges of security ＆ privacy in distributed Internet of Things[J]. Computer Networks, 2013,57(10):2266-2279.
[3]	ZHU H , DU S , GAO Z , et al. A probabilistic misbehavior detection scheme towards efficient trust establishment in delay-tolerant net-works[J]. IEEE Transactions on Parallel and Distributed Systems, 2013,(99):1-6.
[4]	LI X Y , ZHOU F , DU J , et al. LDTS: a lightweight and dependable trust system for clustered wireless sensor networks[J]. IEEE on Trans-actions on Information Forensics and Security, 2012,8(6):924-935.
[5]	BAO F , CHEN R , CHANG M J , et al. Trust-based intrusion detection in wireless sensor networks[A]. 2011 IEEE International Conference on Communications (ICC)[C]. Kyoto, Japan: 2011.1-6.
[6]	HE D , CHEN C , CHAN S , et al. A distributed trust evaluation model and its application scenarios for medical Sensor networks[J]. IEEE Transaction on Information Technology in Biomedicine, 2012,16(6):1164-1175.
[7]	SUN B , SHAN X M , WU K , et al. Anomaly detection based secure in-network aggregation for wireless sensor networks[J]. IEEE Systems Journal, 2013,7(1):13-25.
[8]	肖德琴，冯健昭，周权等．基于高斯分布的传感器网络信誉模型[J]. 通信学报 2008,29(3):47-53. XIAO D Q , FENG J Z , ZHOU Q , et al． Gauss reputation framework for sensor networks[J]. Journal on Communications, 2008,29(3):47-53.
[9]	CROSBY G.V , HESTERL , PISSION N . Location-aware, trust-based detection and isolation of compromised nodes in wireless sensor net-works[J]. International Journal Network Security, 2011,12(2):107-117.
[10]	ZHANG J , SHANKARAN R , ORGUN M A , et al. A dynamic trust establishment and management framework for wireless sensor net-works[A]. 2010 IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing (EUC)[C]. Hong Kong, China, 2010.484-491.
[11]	林闯，田立勤，王元卓．可信网络中用户行为可信的研究[J]. 计算机研究与发展 2008,45(12):2033-2043. LIN C , TIAN L Q , WANG Y Z ． Research on user behavior trust in trustworthy network[J]. Journal of Computer Research and Develop-ment, 200845(12):2033-2043.
[12]	ALZAID H , ALFARAJ M , RIES S , et al. Trust Management VII[M]. Berlin Heidelberg: Springer 2013. 66-82.
[13]	胡向东，余朋琴，魏琴芳．物联网中选择性转发攻击的发现[J]. 重庆邮电大学学报 2012,24(2):148-152. HU X D , YU P Q , WEI Q F ． Detection of selective forwarding attacks in the Internet of Things[J]. Journal of Chongqing University of Posts and Telecommunications, 2012,24(2):148-152.
[14]	ZHAN G , SHI W , DENG J . Design and implementation of TARF: a trust-aware routing framework for WSNs[J]. IEEE Transactions on Dependable and Secure Computing, 2012,9(2):184-197.
[15]	SHANKARAN R , VARADHARAJAN V , ORGUN M A , et al. Con-text-aware trust management for peer-to-peer mobile ad-hoc net-works[A]. 33rd Annual IEEE International Computer Software and Applications Conference[C]. Seattle, Washington, USA, 2009.188-193.
[16]	JOSANG A , ISMAIL R , BOYD C . A survey of trust and reputation systems for online service provision[J]. Decision support systems, 2007,43(2): 618-644.

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