Publications

Abstract : Data integrity is the protection of information from damage or deliberate manipulation. Large Scale image datasets are being shared exponentially. When these are outsourced in the cloud, compression and decompression of the images is required. Though images stored in the cloud can be shared across multiple users, the integrity of this shared data is prone to hardware or software failures and human errors. Previously designed techniques enable both data owners and public verifiers to efficiently audit the integrity without retrieving the entire data, butrevealing confidential information such as privacy identity. Auto Image compression and decompression from the cloud server eases the work of users. This paper proposes public auditing by exploiting ring signatures to compute verification metadata for preserving integrity. The signer's identity on each block is kept private from public verifiers who verify shared data integrity without requiring compressing and decompressing large image files which is automated through BCIF framework. The ring layout also enables simultaneous multiple auditing.