摘要
信任是多方面的,在不同的应用场景中,同一节点在不同领域具有不同的可信度.现有信任模型粒度过于粗糙,不能很好地解决同一Peer节点在不同领域、不同方面的可信度计算问题.据此,提出一种新的Peer-to-Peer环境下的多粒度信任模型,并给出该模型的数值分析和分布式实现方法.分析及仿真结果表明,该模型与已有模型相比,在可信度计算的粒度、模型的安全性等方面有较大的提高.
Trust is multi-faceted and the peer's needs are different in different situations. A peer may need to consider its trust in a specific domain of another peer's capability or in a combination of multiple domains. Current Peer-to-Peer trust model could not promise the trust computation of different domains. This paper presents a novel Peer-to-Peer multiple-grain trust model and gives a distributed implementation method, which considers the trust computation of different domains. Mathematic al analyses and simulations show that, compared to the current trust model, the proposed model is more precis e on trust computation of multiple domains and more robust on trust security problems.
出处
《软件学报》
EI
CSCD
北大核心
2006年第1期96-107,共12页
Journal of Software
基金
国家自然科学基金
江苏省自然科学基金~~
关键词
对等网络
本体
信任树
档案点
多粒度信任模型
peer-to-peer
ontology
trust tree
documentary point
multiple -grain trust model