Data Storage Collateral In Cloud Computing

Cloud Computing has been predicted as the next-generation architecture of IT Enterprise. In additional to traditional solutions, where the IT services are under proper physical, logical and personnel controls, Cloud Computing moves the application software and databases to the large data centers, where the management of data has many security challenges To Overcome this, in this paper we focused on data security in cloud computing, which has always been an important aspect of quality of service. To ensure the correctness of users ' data in the cloud, we propose an effective and flexible distributed scheme with two salient features, opposing to its predecessors. By utilizing the homomorphic token with distributed verification of erasure-coded data, our scheme achieves the integration of storage correctness insurance and data error localization, i.e., the identification of misbehaving g server(s). Unlike most prior works, the new scheme further supports secure and efficient dynamic operations on data base, including data update, delete and insert. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even it avoids server colluding attacks