可扩展的社交多媒体安全分享方法研究

Secure and scalable social multimedia sharing for social network

社交多媒体在社交网络中的分享面临安全与隐私威胁,多媒体加密可以解决保密性问题,数字指纹技术可以实现叛逆者追踪,但现有数字指纹技术还不能应用于大规模社交网络。现有指纹码不能容纳社交网络中数以亿计的海量用户,为每位用户单独生成指纹拷贝,对数亿计的用户而言,会造成巨额的空间和时间开销,此类问题的产生源于现有的安全分享算法缺乏可扩展性。面向社交多媒体安全分享在确保保密性、可追踪性的同时,更需要保证可扩展性,以适应社交网络的动态变化。基于混沌加密和社交网络指纹技术,提出一种面向社交多媒体安全分享的树结构Haar(tree structure Haar,TSH)变换域的联合多媒体指纹与加密技术,实验结果与理论分析证明了该方法不仅可以保证社交多媒体的安全分享,而且可以实现可扩展性。

Social multimedia sharing in social network faces threat of security and privacy. This paper explores the notion of the hierarchical community structure of social network and its intrinsic properties to assign fingerprints to users. The motivation is to assist tree structure Haar(TSH) transform for fingerprinting adaptively, in the end; any size of segment of fingerprint codeword can be embedded into the corresponding coefficients in the TSH domain. The use of fingerprinting along with encryption in the TSH transform domain can not only provide a double-layer of protection to multimedia sharing in social networks, but also provide a fingerprinting scheme with scalability for social multimedia sharing in social networks. Theory analysis and experimental results show the effectiveness of the proposed joint fingerprinting and enciyption scheme in the TSH domain.