一种面向DRM的多媒体社交网络信任模型

摘要

在多媒体社交网络中,用户间的信任关系直接影响数字内容的分享与传播方式.为准确评估用户间的信任关系,引入数字内容可信反馈、反馈权衡因子、用户分享相似性等分享特性因子,基于小世界理论,建立一种面向数字版权管理的多媒体社交网络信任模型MSNTM.实验结果表明,MSNTM能够实时动态地更新用户间的信任值,准确度量信任关系,并识别分享虚拟社区中的恶意用户.%In Multimedia Social Network(MSN), the trust relationships between entities directly affect the ways of digital contents sharing and dissemination. In order to accurately evaluate the trust relationships, a novel MSN trust model for Digital Rights Management(DRM) based on small-world theory is proposed by introducing the property factors of digital contents sharing scenario such as digital content credible feedback, feedback balancing factor, sharing similarity between users. Experimental results show that MNSTM can accurately evaluate the trust relationships by updating the trust values in real time, and effectively identify the malicious users in the sharing virtual community.