Storage Correctness and Error Localization of Data in Cloud Computing
Cloud computing technology has emerged to manage large scale data efficiently. It is very challenging part to keep the data safely that is needed in many applications for user in the cloud. Storing data in the cloud may not be trust worthy. Since client doesn't have a copy of all stored data, has to depend on cloud service provider. In this paper, the authors mainly focus on cloud data security. They proposed a Reed-Solomon erasure coded data which is integrated with homomorphic token for file distribution, which is used for storage correctness and error localization i.e. identifying misbehaving servers. This paper also focus on dynamic data operation on large scale of data i.e. insert, delete and update operations. Security analysis shows that the proposed system is highly efficient against malicious data modification and server colluding attacks.