期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：86
期号：2
出版社：Journal of Theoretical and Applied
摘要：Cloud Data Storages decreases colossal burden on clients as for their neighborhood stockpiles yet acquaints new issues with deference with information copies in the cloud. Albeit some prior methodologies managed the issue of actualizing a way to deal with handles cloud security and execution as for de-duplication by appropriately characterizing the concerned gatherings in the cloud and summoning document signature distinguishing proof procedure utilizing customary hash message validation code (HMAC). Because of these hash code calculations like SHA-1 and MD5 the document trustworthiness qualities are colossal prompting idleness variable at the de-duplication estimation. Because of this above issue the capacity exhibit obliges earlier trustworthiness hash codes prompting execution issues. In this paper, we propose a Genetic Programming way to deal with record deduplication that joins a couple of unmistakable bits of affirmation removed from the information substance to discover a deduplication limit that has the limit perceive whether two sections in a store are duplicates or not. As appeared by our trials, our methodology beats a current cutting edge technique found in the writing. Additionally, the proposed capacities are computationally less requesting since they utilize less confirmation. Furthermore, our hereditary programming methodology is prepared to do consequently adjusting these capacities to a given settled copy ID limit, liberating the client from the weight of choosing and tune this parameter.
