考虑信任可靠度的分布式动态信任管理模型
作者:
基金项目:

国家自然科学基金(612724219);江苏省自然科学基金(BK2009535);江苏省高校优秀中青年教师境外研修计划


Distributed Dynamic Trust Management Model Based on Trust Reliability
Author:
Fund Project:

National Natural Science Foundation of China (612724219); Natural Science Foundation of JiangSu Provincial of China (BK2009535); Jiangsu Overseas Research & Training Program for University Prominent Young & Middle-Aged Teachers and Presidents

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [15]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    分布式动态信任模型作为适用于云计算环境下的访问管理机制已经得到广泛研究,然而现有的许多信任模型忽视了对信任数据可靠性的评估,导致推荐信任不可靠时出现模型失效.针对这一问题,提出了一种考虑信任可靠度的分布式动态信任管理模型DDTM-TR.首先使用可靠度对信任进行评估,降低不可靠数据对直接信任、推荐信任、综合信任计算的影响;然后,选择多个待选节点计算它们的综合信任,并以计算出的综合信任为概率,随机选择待选节点进行交互;在交互结束后,根据交互满意度反馈修正节点的可靠度.仿真实验结果表明:DDTM-TR模型在处理恶意服务、恶意推荐方面都优于对比模型,并且能够通过反馈算法进一步降低判断的失败率.

    Abstract:

    Distributed dynamic trust model, as a new access management mechanism which applies to cloud computing environment, has been studied extensively. However, many existing trust models ignore the reliability of trust data and lead to failure when facing malicious recommendation. To solve this problem, this article proposes a new model named DDTM-TR (distributed dynamic trust management model based on trust reliability). Firstly, in order to reduce the bad effects of unreliable data on direct trust, recommendation trust and integrated trust, the reliability of trust data is evaluated. Second, several candidate nodes are selected and their integrated trust values are calculated, and one of them is selected randomly according to the stochastic decision algorithm based on their integrated trust values. Finally, the node reliability is updated according to the feedback after the interaction. The experiments demonstrate that DDTM-TR model performs better than the compared models in resisting malicious service and malicious recommendation, and the failure rate can be reduced further by the feedback algorithm.

    参考文献
    [1] Singh A, Shrivastava M. Overview of security issues in cloud computing. Int'l Journal of Advanced Computer Research, 2012,2(1):41-45.
    [2] Melaye D, Demazeau Y. Bayesian dynamic trust model. In:Proc. of the Int'l Central and Eastern European Conference on Multi-Agent Systems (CEEMAS 2005), Berlin:Springer-Verlag, 2005. 480-489.
    [3] Wang W, Zeng GS. Bayesian cognitive trust model based self-clustering algorithm for MANETs. Science China Information Sciences, 2010,53(3):494-505.
    [4] Sun YX, Huang SH, Chen LJ, Xie L. Bayesian decision-making based recommendation trust revision model in ad hoc networks. Ruan Jian Xue Bao/Journal of Software, 2009,20(9):2574-2586. http://www.jos.org.cn/1000-9825/579.htm[doi:10.3724/SP.J.1001. 2009.00579]
    [5] Li X, Ling L. Building trust in decentralized peer-to-peer electronic communities. In:Proc. of the Int'l Conf. on Electronic Commerce Research (ICECR-5). 2002. 1-15.
    [6] Li HZ, Singhal M. Trust management in distributed systems. IEEE Computer Society, 2007,40(2):45-53.
    [7] Kamvar SD, Schlosser MT, Garcia-Molina H. The eigentrust algorithm for reputation management in p2p networks. In:Proc. of the Int'l Conf. on World Wide Web. 2003. 640-651.
    [8] Lu K, Wang JL, Li MC. An eigentrust dynamic evolutionary model in p2p file-sharing systems. In:Proc. of the Peer-to-Peer Networking and Applications. 2015. 1-14.[doi:10.1007/s12083-015-0416-1]
    [9] Nishikawa T, Fujita S. A reputation management scheme for peer-to-peer networks based on the eigentrust trust management algorithm. Journal of Information Processing, 2012,20(3):578-584.
    [10] Fan XX, Liu L, Li MC, Su ZY. EigenTrust++:Attack resilient trust management. In:Proc. of the CollaborateCom 2012. 2012. 416-425.
    [11] You J, Feng H, Sun YQ. Trust evaluation and service selection based on collaborative recommendation for cloud environment. Computer Science, 2016,43(5):140-145(in Chinese with English abstract).
    [12] Tian JF, Lu YZ, Li N. Trust chain management based on recommendation. Journal on Communications, 2011,32(10):1-9(in Chinese with English abstract).
    附中文参考文献:
    [11] 游静,冯辉,孙玉强.云环境下基于协同推荐的信任评估与服务选择.计算机科学,2016,43(5):140-145.
    [12] 田俊峰,鲁玉臻,李宁.基于推荐的信任链管理模型.通信学报,2011,32(10):1-9.
    引证文献
引用本文

游静,上官经伦,徐守坤,李千目,王印海.考虑信任可靠度的分布式动态信任管理模型.软件学报,2017,28(9):2354-2369

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2016-07-09
  • 最后修改日期:2017-01-06
  • 在线发布日期: 2017-09-02
文章二维码
您是第20539670位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京市海淀区中关村南四街4号,邮政编码:100190
电话:010-62562563 传真:010-62562533 Email:jos@iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号