International Journal of Computing Science and Information Technology (IJCSIT)
Cloud storage facilitates users to store data remotely and benefits enterprise network or organization by minimizing the complexity of local hardware and software management. Despite the understandable on-demands, an infrastructure based services exposes user physical possession of outsourced data which certainly creates new security threats affecting data accuracy in cloud. In order to address the emerging problem against secure and reliable cloud storage, this paper proposes an Elastic Scattered Storage Scalability Auditing (ESSSA) method, comprising homomorphism token and distributed scoring coded data. ESSSA method supports reliable user access to cloud storage with better quality communication and reduced computation cost.