Privacy Preserving and Load Balancing For Secure Cloud Storage

Using Cloud Storage, users can remotely store their data and enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in Cloud Computing a formidable task. Unfortunately, sharing data in a multi-owner manner while preserving data and identity privacy from an untrusted cloud is still a challenging issue, due to the frequent change of the membership. In proposed a secure cloud storage for multi-owner data sharing authentication system supporting privacy-preserving by enabling public auditability for cloud storage with critical importance so that users can resort to a third party auditor (TPA) to check the integrity of outsourced data and be worry-free. And also by encryption and hashing techniques, such as Advanced Encryption Standard (AES), Merkle Hash Tree, any cloud user can anonymously share data with others. By using these techniques the storage overhead and computation cost is reduced. Also trustworthiness will be increased between the user and the Cloud Service Provider. Load Balancing is also implemented to process the User requested job by allocating to the sub servers which will process the task by evaluating the CPU performance level.