摘要
机会网络中,节点间进行交互必须考虑其他节点的可信性。针对机会网络节点间信任问题,提出基于声誉的机会网络信任模型。该模型采用贝叶斯方法计算节点的直接声誉,并将时间退变因子引入到间接声誉的计算当中,利用加权求合的方法合成信任值,根据此信任值节点双方进行访问控制并更新信任表。最后研究模型各个参数对信任值的影响,该模型能够有效地提高节点交互成功率。
In opportunistic networks, the interaction between nodes must consider the credibility of other nodes. According to the trust issue between nodes in opportunistic networks, this paper proposes a reputation-based opportunistic networks trust model. This model uses Bayesian method to calculate the direct reputation of nodes, introduces time degeneration factor in the indirect reputation calculation, and uses weighted sum method to integrate the trust value. Moreover, both sides of the node conduct access control and update their trust table based on this trust value. Finally, the influence of parameters of the model on the trust value is discussed. This model can improve the success rate of interaction between the nodes effectively.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第7期204-206,共3页
Computer Applications and Software
关键词
机会网络
信任模型
声誉
贝叶斯
时间退变因子
访问控制
Opportunistic networks Trust model Reputation Bayesian Time degeneration factor Access control
