Enhanced Secure Sharing and Optimized Privacy Preservation of Encrypted Data Stored in Cloud

Abstract

Cloud computing provides best answer to high storage costs of data of companies. Updating of hardware becomes necessary as data generation rate is very high and becomes costly for companies to cope-up with raising storage cost. Maintenance cost becomes less when data storage is outsourced to cloud. Users data is moved to large remotely located data centers, which the user have no control. But cloud gives many security challenges which has to be solved. A new algorithm for checking the data integrity is proposed to check the data correctness of owner. newlineAs growth of electronic personal health records need huge storage, outsourcing it to cloud becomes easy for storage and maintenance. The main concern is the secure sharing and searching of encrypted data along with its privacy preservation. Attribute-based encryption (ABE) technique allows different level of access for different users. Once the file encryption is done, searching is done using the Bloom filter. newlineAs the growth of electronic personal health records needs huge storage, outsourcing it to the cloud becomes easy for storage and maintenance. Complex information in the framework of cloud computing incorporates data from an extensive range of different areas and domains. newlineThere have been excessive efforts to service an extensive range of approaches to improve the privacy of data and to have cloud platforms most secure. Methods that have been used like: anonymization, encryption, homomorphic encryption, trusted platform module, secure multi-party computing and sandboxing. newlineBut, it is still an undeveloped problem about in what way to properly build operational privacy-preserving cloud systems to have the sensitive data securely. newline