Storage and Security Preservation Using Cloud Based Intelligent Compression Scheme

Abstract

Cloud computing is one of the important factoring that leads it into a productive phase. This means that most of the main problems with cloud computing have been addressed to a degree that clouds have become interesting for full commercial exploitation. However, permissions over data security still prevent many users from migrating data to remote storage. Client-side data compression in particular ensures that multiple uploads of the same content only consume network bandwidth and storage space of a single upload. Compression is actively used by a number of cloud backup providers as well as various cloud services. Unfortunately, encrypted data is pseudorandom and thus cannot be deduplicated: as a consequence, current schemes have to entirely sacrifice either security or storage efficiency. In this system, present a scheme that permits a more fine-grained trade-off. The intuition is that outsourced data may require different levels of protection, depending on how popular it is: content shared by many users. Then present a novel idea that differentiates data according to their popularity. In this proposed system, implement an encryption scheme that guarantees semantic security for unpopular data and provides weaker security and better storage and bandwidth benefits for popular data. Proposed data de-duplication can be effective for popular data, also semantically secure encryption protects unpopular content. Finally, can use the backup recover system at the time of blocking and also analyze frequent login access system.