An efficient, dynamic, privacy preserving public auditing method on untrusted cloud storage
R. Navajothi, S. Jean Adrien Fenelon · 2014
Cloud Computing is continuously evolving and showing consistent growth in the field of computing. The Cloud server allows user to store their data on a cloud without the burden of local storage and maintenance. Cloud data storage has many advantages over local data storage. User can upload their data on cloud and can access those data anytime anywhere without any additional burden. But, the security issues and threats associated with it still stay as a cumbersome. It requires a secure cloud storage system with independent efficient auditing service to check the correctness of outsource data. Thus auditing service should not bring any new vulnerability towards the user data privacy. The existing remote integrity checking protocols can only serve for the static data and not for dynamic data. The proposed scheme focuses on efficient and secure cloud storage system and dynamic privacy-preserving audit service (TPA) for verifying the integrity of outsourced storage. It achieves both public auditability and dynamic data operations. Our scheme is the first to support scalable and efficient public auditing in the Cloud Computing.