An Approach to Secure Capacity Optimization in Cloud Computing using Cryptographic Hash Function and Data De-duplication

Abstract

Capacity Optimization in Cloud computing is a common term for innovations used to progress storage use by dwindling stored data. Crucial methodologies used for capacity optimization in cloud computing are data compression and data deduplication. Our paper focuses Capacity Optimization in connection with Deduplication procedures, which stare for redundancy in series of bytes across comparison windows by using cryptographic hash functions as identifiers of unique sequences, then the sequences are matched to the history of other such sequences, and when possible, the first uniquely stored version of a sequence is referenced rather than stored again. Our work shows better results for capacity optimization, which are most frequently found in backup/recovery storage, where storage of iterating versions of backups day to day creates a chance for lessening of space in cloud computing. Hence this study has recognized exploration hole as vast number of capacity of copy records on cloud frameworks from various clients. Consequently, to diminish the amount of work brought about by copied documents, SHA3 calculation has been proposed in this study, which makes the hash esteem for each record and discover the information intelligent compression for capacity streamlining on cloud framework. Our Work also includes Authentication, which is based on Cryptographic hash function and Secure Data Deduplication allows cloud storage and optimization of storage to employ data with concealment.