Toward Encrypted Video Tampering Detection and Localization Based on POB Number System Over Cloud

The unlimited growth in the amount of multimedia content has shifted the global infrastructure to the cloud-based multimedia hosting. However, the high probability of security breaches of the content is increasing demand for secure solutions toward this end. One such feasible solution is to encrypt the content to unreadable form before outsourcing to the cloud-based servers. In this paper, the media information, specifically the video content is distributed into multiple random shares based on the permutation ordered binary number system. The information remains fully concealed without any leakage at the cloud servers. Even if the attacks endanger the integrity of the information, the proposed scheme is enriched with the capability of chalking out accurately the altered pixels. These tampered regions are subsequently reflected in the reconstructed video frames obtained at authentic entity end possessing the secret keys required to build back the original content. Moreover, the proposed scheme is capable of detecting temporal attacks on the video frames by employing sequence-based authentication bits. The robustness of the proposed scheme has been validated under different attack scenarios and the scheme is found to be performing satisfactorily well.