Towards a JAR Based PDP Data Integrity Assurance in Cloud Computing

Cloud storage as a service provides scalability and high availability as per the user's need, without considerable investment in infrastructure. However, data security risks, like confidentiality, privacy, and integrity of the outsourced data, are associated with this model. Over the years, techniques like remote data checking (RDC), data integrity checking or data integrity protection (DIP), provable data possession (PDP), Proof of Storage (POS) and Proof of irretrievability (POR), etc., have been devised to frequently and securely check the integrity of outsourced data. Cloud storage service is always assumed to be unreliable and insecure, so a secure and efficient data integrity checking mechanism is of utmost importance. This thesis focuses on making the existing PDP scheme more efficient in computation, storage, and communication cost for extensive data archives. By utilizing JAR and ZIP technology capabilities, we have reduced the cost of searching the metadata in the proof generation process from O(n) to O(1). Due to direct access to metadata, disk I/O cost is reduced, and we achieved 50 to 60 times faster proof generation for large datasets. Our proposed scheme achieved a 50% reduction in the storage size of data and respective metadata, providing storage and communication efficiency.