Joint Fingerpriting and Encryption in Hybrid domains for Multimedia Sharing in Social Networks

The advent of social networks and cloud computing has made social multimedia sharing in social networks easier and more efficient. The lowered cost of redistribution, however, also invites much motivation for large-scale copyright infringement. It is necessary to safeguard multimedia sharing for security and privacy. In this paper, we propose a novel framework for joint fingerprinting and encryption (JFE) based on Cellular Automata (CA) and social network analysis (SNA) with the purpose of protecting media distribution in social networks. The motivation is to map the hierarchical community structure of social networks into the tree structure of Discrete Wavelet Transform (DWT) for fingerprinting and encryption. Firstly, the fingerprint code is produced using SNA. Secondly, fingerprints are embedded in the DWT domain. Thirdly, CA is used for permutation in the DWT domain. Finally, the image is diffused with XOR operation in the spatial domain. The proposed method, to the best of our knowledge, is the first JFE method using CA and SNA in hybrid domains for security and privacy in social networks. The use of fingerprinting along with encryption can provide a double-layer of protection for media sharing in social networks. Theory analysis and experimental results show the effectiveness of the proposed JFE scheme.