Secure image data deduplication through compressive sensing
Fatema Rashid, Ali Miri · 2016
Data generated and stored worldwide is increasing multifold every year, with images and media content accounting for a large portion of this data. In addition to volume, ensuring adequate security is an important challenge that needs to be addressed. In this paper, we propose an efficient, secure data-storage approach based on compressive sensing. Our approach uses data deduplication to remove identical copies of data. Our experimental results show significant storage savings, while providing strong level security.