A Secure Video Deduplication Scheme in Cloud Storage Environments Using H.264 Compression
Fatema Zahra M. Rashid, Ali Miri, Isaac Woungang · 2015
Due to the rapidly increasing amounts of digital data produced worldwide, multi-user cloud storage systems are becoming very popular and Internet users are approaching cloud storage providers (CSPs) to upload their data in the clouds. Among these data, digital videos are fairly huge in terms of storage cost and size, and techniques that can help reducing the cloud storage cost and size are always desired. This paper argues that data reduplication can ease the problem of BigData storage by identifying and removing the duplicate copies from the cloud storages. Although reduplication maximizes the storage space and minimizes the storage costs, it comes with serious issues of data privacy and security. Though the users desire to save some cost by allowing the CSP to deduplicate their data, they do not want the CSP to wane the privacy of their data. In this paper, a scheme is proposed that achieves a secure video reduplication in cloud storage environments. Its design consists of embedding a partial convergent encryption along with a unique signature generation scheme into a H.264 video compression scheme. The partial convergent encryption scheme is meant to ensure that the proposed scheme is secured against a semi-honest CSP, the unique signature generation scheme is meant to enable a classification of the encrypted compressed video data in such a way that the reduplication can be efficiently performed on them. Experimental results and security analysis are provided to validate the stated goals.