An Idea on Enhanced Security Based Approach for Restoring Data and Preserving its Integrity by using Regenerating Erasure Codes

loud storage mainly offers an on-demand data outsourcing servicing model which is gaining popularity through its elasticity and low maintenance cost. In such cases Security concerns arises when data is outsourced to a third-party cloud storage provider. The data that is stored in the cloud might get corrupted due to some malicious programs or due to an adversary. Considering the existing methodology FMSR-DIP codes which take the random subsets of data to check data integrity and by using TTPA regenerate the corrupted data. While regenerating the corrupted data it is only possible to restore the entire data block which is time-consuming and provides less scalability. To resolve such an issue the proposed system depicts the method in which the data uploaded get’s double-encrypted and stored onto the main server. The encrypted data are separated into chunks and placed in replica server’s and then converted into binary format. After adding parity bits to the binary format they are stored in the sub-servers and are hashed to produce a hash signature. They are monitored periodically by TTPA to check integrity and if data loss or corruptions are detected, they are regenerated by using erasure codes with less repair traffic and low time-consumption. Hence this paper revolves around the main objective of using an erasure coding technique that minimizes the time consumption and preserving data confidentiality and integrity. It confirms to provide a way to ensure that the trusted third-party auditor cannot corrupt the data block during periodical