计算机应用 ›› 2016, Vol. 36 ›› Issue (6): 1533-1537.DOI: 10.11772/j.issn.1001-9081.2016.06.1533

• 网络空间安全 • 上一篇    下一篇

基于可拓云的网络信任评估

马满福1,2, 张正锋1,2   

  1. 1. 西北师范大学 计算机科学与工程学院, 兰州 730070;
    2. 甘肃省物联网工程研究中心, 兰州 730070
  • 收稿日期:2015-10-26 修回日期:2016-01-02 出版日期:2016-06-10 发布日期:2016-06-08
  • 通讯作者: 张正锋
  • 作者简介:马满福(1968-),男,甘肃甘谷人,教授,博士,主要研究方向:分布计算、移动计算;张正锋(1990-),男,甘肃庆阳人,硕士研究生,主要研究方向:物联网、可信计算。
  • 基金资助:
    国家自然科学基金资助项目(71263045);甘肃省科技支撑计划项目(1204FKCA162)。

Network trust evaluation based on extension cloud

MA Manfu1,2, ZHANG Zhengfeng1,2   

  1. 1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou Gansu 730070, China;
    2. Gansu Province Internet of Things Engineering Research Center, Lanzhou Gansu 730070, China
  • Received:2015-10-26 Revised:2016-01-02 Online:2016-06-10 Published:2016-06-08
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (71263045), the Science and Technology Support Program of Gansu Province (1204FKCA162).

摘要: 针对网络信任评估中存在不确定因素的问题,以复杂开放网络中的安全交易为研究背景,引入可拓云理论,利用可拓学中的物元理论和云模型的不确定性兼二者定性与定量相结合的优点,提出了基于可拓云的网络信任评估模型,实现了信任值定性与定量之间的转换。在此模型基础上提出基于可拓云的网络信任评估方法,对网络安全交易能够有效地进行信任评估,为最终信任决策提供有利依据。仿真实验结果表明:信任决策调度算法提高了信任评估的准确性和交易的成功率,有效缓解了网络交易实体的欺骗行为,评估方法具有可行性和有效性。

关键词: 云模型, 信任评估, 物元云, 可拓云理论, 信任决策

Abstract: Aiming at the problem of uncertain factors in network trust evaluation, under the research background of security trading in complex open network, the extension cloud theory was introduced. Using the matter-element theory of extenics and the uncertainty of cloud model and the advantage of both the quantitative and qualitative analysis, an extension cloud-based network trust evaluation model was proposed. In the proposed model, the transformation between qualitative trust value and quantitative trust value was realized. And then, an evaluation method based on the extension cloud was put forward on the basis of the proposed model. The trust assessment of network security trading can be achieved effectively for providing good basis for final trust decision. The simulation experimental results show that, the trust evaluating and scheduling algorithm has improved the accuracy of trust evaluation and the successful rate of transaction in complex network environment and alleviated the network transaction entity fraud effectively. The proposed network trust extension method is effective and feasible.

Key words: cloud model, trust evaluation, matter-element cloud, extension cloud theory, trust decision

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