通信学报 ›› 2013, Vol. 34 ›› Issue (7): 167-173.doi: 10.3969/j.issn.1000-436x.2013.07.019

• 学术通信 • 上一篇    下一篇

基于改进D-S证据理论的信任评估模型

张琳1,2,3,刘婧文1,王汝传1,2,3,王海艳1,2,3   

  1. 1 南京邮电大学 计算机学院,江苏 南京210003;
    2 江苏省无线传感网高技术研究重点实验室,江苏 南京210003;
    3 南京邮电大学 宽带无线通信与传感网技术教育部重点实验室,江苏 南京210003
  • 出版日期:2013-07-25 发布日期:2017-06-24
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;江苏省自然科学基金资助项目;江苏省自然科学基金资助项目;江苏省自然科学基金资助项目;江苏省科技支撑计划(工业)基金资助项目;省属高校自然科学研究重大基金资助项目;南京邮电大学科研基金资助项目;江苏高校优势学科建设工程基金资助项目

Trust evaluation model based on improved D-S evidence theory

Lin ZHANG1,2,3,Jing-wen LIU1,Ru-chuan WANG1,2,3,Hai-yan WANG1,2,3   

  1. 1 College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    2 Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China;
    3 Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education Jiangsu Province,Nangjing University of Posts and Telecommunications,Nanjing 210003, China
  • Online:2013-07-25 Published:2017-06-24
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Jiangsu Province;The Natural Science Foundation of Jiangsu Province;The Natural Science Foundation of Jiangsu Province;Scientific & Technological Support Project (Industry) of Jiangsu Province;Natural Science Key Fund for Colleges and Univers ities in Jiangsu Province;The Science Foundation of NJUPT;The Science Foundation of NJUPT

摘要:

针对已有的信任证据模型不能快速有效地处理分布式网络中存在的恶意攻击,且缺乏关于三元信任关系组的信任归一方法,提出了一种基于改进D-S证据理论的信任模型,在此基础上,提出了基于持续序列的基本可信度函数和基于评估函数的信任评估方法,使得模型能更快地抑制恶意节点,并且评估结果更贴近现实值。通过分析与仿真,验证了本模型具有抑制聚集信任攻击的有效性和健壮性,同时信任评估方法更具合理性和准确性。

关键词: D-S证据理论, 信任评估模型, 基本概率分配函数, 类概率函数

Abstract:

The existing trust evidence models cannot deal with malicious attacks in the distributed net quickly and effectively, and are lack of a trust normalization method that can measure relationship described by a triple set, so a trust model based on the improved D-S evidence theory was proposed. On this basis, basic trust value function based on continuous sequences and trust evaluation method based on evaluation function were also proposed to inhibit malicious nodes in a higher speed, and to enable the prediction results to be closer to the fact. Analysis and simulation show that this model has better effectiveness and robustness to deal th the aggregating trust attack, and trust evaluation method has better reasonableness and accuracy.

Key words: D-S evidence theory, trust evaluation model, basic probability assignment function, class probability function

No Suggested Reading articles found!