基于动态分组的开放分布系统信任度量与管理研究

蒋黎明; 刘志明; 张琨; 徐建; 张宏

doi:10.11959/j.issn.1000-436x.2015012

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基于动态分组的开放分布系统信任度量与管理研究

学术论文 | 更新时间：2024-06-05

- 基于动态分组的开放分布系统信任度量与管理研究
- Research on trust measure and management for open distributed systems based on dynamic grouping
- 通信学报 2015年36卷第1期页码：100-110
- 作者机构：
  
  1. 南华大学计算机科学与技术学院，湖南衡阳 421001
  2. 南京理工大学计算机科学与技术学院，江苏南京 210094
- 作者简介：
  
  [ "蒋黎明（1983-），男，湖南永州人，南华大学讲师，主要研究方向为自组织网络安全隐私保护与动态信任建模。" ]
  [ "刘志明（1972-），男，湖南浏阳人，南华大学教授，主要研究方向为云计算与大数据管理。" ]
  [ "张琨（1978-），女，陕西西安人，南京理工大学副教授，主要研究方向为生物计算与信息安全。" ]
  [ "徐建（1979-），男，江苏江阴人，南京理工大学副教授，主要研究方向为信息安全、人工智能。" ]
  [ "张宏（1956-），男，江苏南京人，南京理工大学教授、博士生导师，主要研究方向为无线网络与网络安全。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61300234);湖南省科技计划基金资助项目(2013GK3155);南华大学博士科研启动基金资助项目(2012XQD09);南华大学重点实验室建设基金资助项目
- DOI：10.11959/j.issn.1000-436x.2015012
  中图分类号： TP391
- 网络出版日期：2015-01，
  
  纸质出版日期：2015-01-25
- 稿件说明：
移动端阅览
蒋黎明, 刘志明, 张琨, 等. 基于动态分组的开放分布系统信任度量与管理研究[J]. 通信学报, 2015,36(1):100-110.

Li-ming JIANG, Zhi-ming LIU, Kun ZHANG, et al. Research on trust measure and management for open distributed systems based on dynamic grouping[J]. Journal on communications, 2015, 36(1): 100-110.
蒋黎明, 刘志明, 张琨, 等. 基于动态分组的开放分布系统信任度量与管理研究[J]. 通信学报, 2015,36(1):100-110. DOI： 10.11959/j.issn.1000-436x.2015012.

Li-ming JIANG, Zhi-ming LIU, Kun ZHANG, et al. Research on trust measure and management for open distributed systems based on dynamic grouping[J]. Journal on communications, 2015, 36(1): 100-110. DOI： 10.11959/j.issn.1000-436x.2015012.

摘要

现有组信任模型在维护信任关系的稳定性与负载均衡能力方面存在局限性。为解决这些问题，提出一种稳定性增强的组信任模型SEGTM（stability enhanced group based trust model），以动态组构造与管理为基础，划分同组及跨组节点间的信任关系并给予了各自的度量方法，较好地解决了信任模型因信任网络拓扑动态改变而难以有效维护信任关系度量的准确性问题。仿真实验结果表明，该模型在应对网络拓扑动态变化时具有较好的稳定性和负载均衡能力，同时也能有效抵抗恶意节点的攻击。

Abstract

A stability enhanced group-based trust model(denoted by SEGTM) for open distributed systems was presented to solve the problems of not sufficiently maintaining trust relation between peers due to the dynamic changes in trust network topology.First

the formation and dynamic management of peers' group were depicted in detail

including nodes gathered into the same group with similar interests

competition for group head and nodes within the group leave in active or passive ways.Then

the trust relation in proposed model was categorized into three kinds and subsequently each solution for these kinds was also put forward.So

the problems of decline in accuracy of computational trust degree between peers due to the difference of peers' interests and low probability of repeated transactions between them were addressed.Simulation results show that the model not only enhances the fairness and stability in response to dynamic changes in network topology

but also can effectively resist the attacks of malicious nodes.

关键词

Keywords

references

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