一种面向物联网节点的综合信任度评估模型

doi:10.19665/j.issn1001-2400.2019.04.009

Abstract

Abstract:

Aiming at the low accuracy and capability to deal with malicious nodes of the Internet of Things(IoT) trust evaluation model, an IoT node comprehensive trust evaluation model (INCTEM) is proposed. First, the evaluation index of the same quality service strength is introduced to reduce the non-intrusive impact on trust evaluation. Second, the recommended node’s reliability is evaluated from three aspects: node similarity, difference and recommended node’s trust value. Then the recommended node’s reliability is used as the recommendation trust weight. Finally, the adaptive weights of direct and recommended trust are calculated to compute the comprehensive trust value. Experimental results show that the INCTEM has advantages in dealing with malicious services and malicious recommendation behaviors, and can reduce the transmission energy consumption while ensuring the validity of trust evaluation.

Key words: internet of things, trust evaluation, Bayesian theory, recommendation trust, node similarity

CLC Number:

TP309

XIE Lixia,WEI Ruixin. IoT Node trust comprehensive evaluation model[J].Journal of Xidian University, 2019, 46(4): 58-65.

Figures/Tables 8

References 12

[1]	MCKNIGHT D H, CHERVANY N L . What Trust Means in E-commerce Customer Relationships: An Interdisciplinary Conceptual Typology[J]. International Journal of Electronic Commerce, 2001,6(2):35-59.
[2]	BLAZE M, FEIGENBAUM J, LACY J. Decentralized Trust Management [C]//Proceedings of the 1996 IEEE Computer Society Symposium on Research in Security and Privacy. Piscataway: IEEE, 1996: 164-173.
[3]	YE Z, WEN T, LIU Z , et al. An Efficient Dynamic Trust Evaluation Model for Wireless Sensor Networks[J]. Journal of Sensors, 2017,11(2):1-16.
[4]	SUN N, XU J H, WEI H L. et al. A Network State Based Reliability Evaluation Model for WSNs [C]//Proceedings of the 2017 18th IEEE ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Piscataway: IEEE, 2017: 303-308.
[5]	GANERIWAL S, SRIVASTAVAM B. Reputation-based Framework for High Integrity Sensor Networks [C]//Proceedings of the 2004 ACM Workshop on Security of Ad Hoc and Sensor Networks. New York: ACM, 2004: 66-77.
[6]	SATHISH S, AYYASAMY A, ARCHANA M . An Intelligent Beta Reputation and Dynamic Trust Model for Secure Communication in Wireless Networks[M]. Berlin: Industry Interactive Innovations in Science, Engineering and Technology Publish, 2017: 395-402.
[7]	刘宴兵, 龚雪红, 冯艳芬 . 基于物联网节点行为检测的信任评估方法[J]. 通信学报, 2014,35(5):8-15.
	LIU Yanbing, GONG Xuehong, FENG Yanfen . Trust System Based on Node Behavior Detection in Internet of Things[J]. Journal on Communications, 2014,35(5):8-15.
[8]	BENABDERRAHIM O, ELHDHILI M H, SAIDANE L. TMCoI-SIOT: a Trust Management System Based on Communities of Interest for the Social Internet of Things [C]//Proceedings of the 2017 13th International Wireless Communications and Mobile Computing Conference. Piscataway: IEEE, 2017: 747-752.
[9]	BAO F, CHEN I R. Trust Management for the Internet of Things and Its Application to Service Composition [C]//Proceedings of the 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks. Washington: IEEE Computer Society, 2012: 6263792.
[10]	BENKERROU H, HEDDAD S, OMAR M. Credit and Honesty-based Trust Assessment for Hierarchical Collaborative IoT Systems [C]//Proceedings of the 2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications. Piscataway: IEEE, 2017: 295-299.
[11]	徐军, 钟元生, 万树平 . 一种集成直觉模糊信息的激励自适应信任模型[J]. 电子与信息学报, 2016,38(4):803-810. doi: 10.11999/JEIT150750
	XU Jun, ZHONG Yuansheng, WANG Shuping . Incentive Adaptive Trust Model Based on Integrated Intuitionistic Fuzzy Information[J]. Journal of Electronics & Information Technology, 2016,38(4):803-810. doi: 10.11999/JEIT150750
[12]	游静, 上官经伦, 徐守坤 , 等. 考虑信任可靠度的分布式动态信任管理模型[J]. 软件学报, 2017,28(9):2354-2369.
	YOU Jing, SHANGGUAN Jinglun, XU Shoukun , et al. Distributed Dynamic Trust Management Model Based on Trust Reliability[J]. Journal of Software, 2017,28(9):2354-2369.

指标符号	指标名称	描述
Q_ja	相同服务质量强度	监测周期内服务提供节点产生合法行为和恶意行为的次数
R_k	推荐节点可靠度	推荐节点在节点相似度、评价差异度及自身信任度上的综合评价
S(x, y)	节点相似度	2用户在共同通信节点数、对共同通信节点的评分相似性上的相似度
M_k	评价差异度	推荐节点k距离推荐节点集总体评价的偏差

IoT Node trust comprehensive evaluation model

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 12

Related Articles 6

Metrics

Comments

Recommended 10

[1]	CHEN Bo,WANG Pengjun,LI Gang. Lightweight authentication mechanism for IP protection of IoT [J]. Journal of Xidian University, 2019, 46(5): 62-68.
[2]	MENG Fanzhen;LIU Hong;WANG Mingliang;LIN Shuiyang;TIAN Tong. Design of the CMOS low power sub-sampler with integrated filtering for the internet of things [J]. Journal of Xidian University, 2017, 44(3): 108-113.
[3]	MENG Fanzhen;LIU Hong;WANG Mingliang;LIN Shuiyang;TIAN Tong. Design of the low power wake-up receiver for internet of things communication [J]. Journal of Xidian University, 2017, 44(2): 95-100.
[4]	GUO Jingjing;MA Jianfeng. Trust recommendation algorithm for the virtual community based Internet of Things(IoT) [J]. J4, 2015, 42(2): 52-57+179.
[5]	XIA Shuangzhi;YAN Junkun;DAI Fengzhou;LIU Hongwei. Heterogeneous Markov chain model of the target existence variable for Bayesian track-before-detect [J]. J4, 2013, 40(4): 48-55.
[6]	REN Fang1;MA Jianfeng1,2;HAO Xuanwen1. Attribute-based access control scheme for the perceptive layer of the Internet of Things [J]. J4, 2012, 39(2): 66-72.