一种集成直觉模糊信息的激励自适应信任模型

doi:10.11999/JEIT150750

Abstract
Figure/Table
References (20)
Related Citation (6)

Download: PDF (378 KB)
Export: BibTeX | EndNote (RIS)

Abstract

Existing trust models can not effectively express the uncertainty of trust relationship and deal with such issues as dishonest feedbacks and strategic frauds from malicious entities in the distributed network, an adaptive trust model based on aggregating Intuitionistic Fuzzy Information (IFI) is proposed. Firstly, in order to incentivize entities providing trustworthy service and punish entities taking along malicious behavior, an approach on aggregating IFI is constructed to compute the direct trust intuitionistic fuzzy numbers which contain the latest permanence factor and the time decay factor. Then, the recommendation credibility and uniformity are defined to detect dishonest recommendation. Subsequent, an adaptive weighted approach is developed to avoid distributing the weights of direct and indirect trust subjectively. The simulation experiments demonstrate that the proposed model not only is robust on malicious attacks, but also has better adaptability and effectiveness.

Key words： Intuitionistic Fuzzy Information (IFI) Trust model Distributed network Recommendation credibility

Received: 24 June 2015 Published: 19 February 2016

PACS:

TN915

Fund:

The National Natural Science Foundation of China (71361012, 61263018), The Science and Technology Project of Jiangxi province educational department of China (GJJ151601), The Colleges Humanities Social Science Research Project of Jiangxi Province (JC1338), The Young Foundation of Jiangxi University of Finance and Economics

Corresponding Authors: XU Jun E-mail: xujun1028@126.com

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	XU Jun
	ZHONG Yuansheng
	WAN Shuping

Cite this article:

XU Jun,ZHONG Yuansheng,WAN Shuping. Incentive Adaptive Trust Model Based on Integrated Intuitionistic Fuzzy Information[J]. JEIT, 2016, 38(4): 803-810.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150750 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I4/803

[1]	徐海湄, 齐守青, 卢显良, 等. 一种新的基于概率统计论的P2P网络信任模型[J]. 电子与信息学报, 2011, 33(6): 1314-1318. doi: 10.3724/SP.J.1146.2010.00179.
	XU H M, QI S Q, LU X L, et al. A novel trust model of P2P networks based on theory of probability and statistics[J]. Journal of Electronics & Information Technology, 2011, 33(6): 1314-1318. doi: 10.3724/SP.J.1146.2010.00179.
[2]	KAMVAR S D, SCHLOSSER M T, and GARCIA-MOLINA H. The eigentrust algorithm for reputation management in P2P networks[C]. Proceedings of 12th International World Wide Web Conference, Budapest, 2003: 640-651.
[3]	TEACY W T, LUCK M, ROGERS A, et al. An efficient and versatile approach to trust and reputation using hierarchical bayesian modeling[J]. Artificial Intelligence, 2012, 193: 149-185.
[4]	张绍武, 林鸿飞, 刘晓霞, 等. 基于概率的信任传播模型[J]. 计算机科学, 2014, 41(8): 90-93.
	ZHANG S W, LIN H F, LIU X X, et al. Trust propagation based on probability[J]. Computer Science, 2014, 41(8): 90-93.
[5]	CERUTTI F, TONIOLO A, OREN N, et al. Subjective logic operators in trust assessment: an empirical study[J]. Information Systems Frontiers, 2015, 17(4): 743-762.
[6]	田俊峰, 吴丽娟. 基于多项式主观逻辑的扩展信任传播模型[J]. 通信学报, 2013, 34(5): 12-19.
	TIAN J F and WU L J. Multinomial subjective logic based extended trust propagation model[J]. Journal on Communications, 2013, 34(5): 12-19.
[7]	LIU G, YANG Q, WANG H, et al. Assessment of Multi-hop interpersonal trust in social networks by three-valued subjective logic[C]. IEEE Conference on Computer Communications, Shanghai, 2014: 1698-1706.
[8]	李致远, 王汝传. P2P电子商务环境下的动态安全信任管理模型[J]. 通信学报, 2011, 32(3): 50-59.
	LI Z Y and WANG R C. Dynamic secure trust management model for P2P e-commerce environments[J]. Journal on Communications, 2011, 32(3): 50-59.
[9]	徐晓斌, 张光卫, 王尚广, 等. 基于轻量云模型的WSN不确定性信任表示方法[J]. 通信学报, 2014, 35(2): 63-69.
	XU X B, ZHANG G W, WANG S G, et al. Representation for uncertainty trust of WSN based on lightweight-cloud[J]. Journal on Communications, 2014, 35(2): 63-69.
[10]	YU B and SINGH M P. An evidential model of distributed reputation management[C]. Proceedings of the First International Joint Conference on Autonomous Agents and Multi-agent Systems: Part 1. Bologna, 2002: 294-301.
[11]	田春岐, 邹仕洪, 王文东, 等. 一种新的基于改进型DS证据理论的P2P信任模型[J]. 电子与信息学报, 2008, 30(6): 1480-1484.
	TIAN C Q, ZOU S H, WANG W D, et al. A new trust based on advance D-S evidence theory for P2P networks[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1480-1484.
[12]	蒋黎明, 张宏, 张琨, 等. 开放系统中一种基于模糊修正的证据信任模型[J]. 电子与信息学报, 2011, 33(8): 1930-1936. doi: 10.3724/SP.J.1146.2011.00063.
	JIANG L M, ZHANG H, ZHANG K, et al. An evidential trust model with fuzzy adjustment method for open systems[J]. Journal of Electronics & Information Technology, 2011, 33(8): 1930-1936. doi: 10.3724/SP.J.1146.2011.00063.
[13]	JIANG L, XU J, ZHANG K, et al. A new evidential trust model for open distributed systems[J]. Expert Systems with Applications, 2012, 39(3): 3772-3782.
[14]	XU Z and CAI X. Intuitionistic Fuzzy Information Aggregation[M]. Springer Berlin Heidelberg, 2012: 4-16.
[15]	雷英杰, 赵杰, 路艳丽, 等. 直觉模糊集理论及应用[M]. 北京: 科学出版社, 2014: 90-95.
	LEI Y J, ZHAO J, LU Y L, et al. Theory and Application of Intuitionistic Fuzzy Set[M]. Beijing: Science Press, 2014: 90-95.
[16]	韩祺祎, 任梦吟, 文红. 基于拓扑势的P2P社区推荐信任模型[J]. 电子与信息学报, 2015, 37(6):?1279-1284. doi: 10.11999/ JEIT141303.
	HAN Q Y, REN M Y, and WEN H. Topological potential based recommendation trust model for P2P communities system[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1279-1284. doi: 10.11999/JEIT141303.
[17]	YUE Z. Aggregating crisp values into intuitionistic fuzzy number for group decision making[J]. Applied Mathematical Modelling, 2014, 38(11): 2969-2982.
[18]	TZENG G H and HUANG J J. Multiple Attribute Decision Making: Methods and Applications[M]. Florida: CRC Press, 2011: 342-366.
[19]	吴大鹏, 冯誉, 王汝言, 等. 恶意节点容忍的间断连接无线网络消息转发策略[J]. 电子与信息学报, 2015, 37(7): 1591-1597. doi: 10.11999/JEIT141198.
	WU D P, FENG Y, WANG R Y, et al. Malicious node tolerant packet forwarding mechanism for intermittently connected wireless network[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1591-1597. doi: 10.11999/JEIT141198.
[20]	The stanford P2P sociology project[OL]. http://p2p.stanford. edu/www/demos.htm, 2000.