Research on trust measure and management for open distributed systems based on dynamic grouping
Academic paper|更新时间:2024-06-05
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Research on trust measure and management for open distributed systems based on dynamic grouping
Journal on CommunicationsVol. 36, Issue 1, Pages: 100-110(2015)
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:
基金信息:
The National Natural Science Foundation of China(61300234);The Project of Hunan Province Science and Technology Program(2013GK3155);The Scientific Research Starting Foundation for Doctors of China in University of South China(2012XQD09);The Construct Program of the Key Laboratory in University of South China
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:
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.
Research on trust measure and management for open distributed systems based on dynamic grouping
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.
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references
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