Elimination of Expensive Auditing Task and Reduce the Outsourced Data Leakage Using MUPAP

Abstract

Cloud Computing is a new paradigm in which computing resources:(i) Processing, (ii) Memory and (iii) Storage are not physically present at the user’s location. The proposed system will create the multiple users to monitor and handle the data integration physically in the Third Party Auditor (TPA). An utilization of homomorphic linear authenticator and random mask will guarantees that the TPA will unable to retrieve any information / data content stored in the cloud server during auditing process. In the proposed work, the reinforcement of TPA handles multiple audit sessions from an outsourced data files and extend the existed Privacy-Preserving Public Auditing Protocol (P3AP) into an Multi-User Public Auditing Protocol (MUPAP), performs an efficient Multiple Auditing Tasks (MAT) to typically eliminate the burden of tedious and expensive auditing task and improves outsourced data leakage