A Trust Model Using Implicit Call Behavioral Graph for Mobile Cloud Computing
Behavior patterns of users in mobile social cloud are always based on real world relationships and can be used to infer a level of trust between users.In this paper, we describe the implicit call behav ioral graph which is formed by users interactions with call.We rate these relationships to form a dynamic local cloud trust, which enables users to evaluate the trust values between users within the context of a mobile social cloud network.We, then, calculate local trust values according to users behavioral attributes, such as call frequency, relevance, call mo ment, and satisfaction.Due to the unique nature of the social cloud, we discuss the propagation and aggregation of local trust values for global social cloud network.Finally, we evaluate the performance of our trust model through simulations, and show simulation results that demon strate the importance of interaction-based behavioural relationships in recommendation system.
Trust relationships Mobile social cloud Call behavioral graph Trust entropy
Shuhong Chen Guojun Wang Weijia Jia
School of Information Science and Engineering,Central South University,Changsha 410083,China Department of Computer Science,City University of Hong Kong 83 Tat Chee Avenue,Kowloon,Hong Kong
国际会议
The 5th International Symposium on Cyberspace Safety and Security ( CSS2013)(第五届国际网络空间安全和安保研讨会)
张家界
英文
387-402
2013-11-13（万方平台首次上网日期，不代表论文的发表时间）