Joint Fingerprinting and Encryption for JPEG Images Sharing in Mobile Social Network

Abstract

The advent of mobile social network and smartphone has made social multimedia sharing in social network easier and more efficient. However, it can also cause serious security and privacy problems, secure social multimedia sharing and traitor tracing issues have become critical and urgent. In this paper, we propose a joint fingerprinting and encryption (JFE) scheme based on Game of Life (GL) and singular value decomposition (SVD) with the purpose of protecting JPEG images sharing in mobile social networks. Firstly, the fingerprint code is produced using social network analysis. After that, a fast inter- transformation from block DCTs to DWT is employed. Then, fingerprints are embedded into the LL, HL and LH subbands. At last, GL and SVD are used to for confusion and diffusion respectively. The proposed method, to the best of our knowledge, is the first JFE method using GL and SVD in the JPEG compressed domain for security and privacy in JPEG images sharing. The use of fingerprinting along with encryption can provide a double-layer of protection to JPEG images sharing in social network. Theory analysis and experimental results show the effectiveness of the proposed JFE scheme. Most importantly, the performance of inter-transformation between block DCT and one-level DWT has a profound effect on lowering computational cost in our proposed JFE scheme. In the end, our JFE method can secure JPEG images sharing in social networks and meet the real-time requirement.