Secure Data Deduplication in Cloud
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 12
Abstract
Secure deduplication is a system for discarding duplicate copies of limit data, and offers security to them. To lessening storage space and exchange information move limit in circulated stockpiling deduplication has been an unquestionably comprehended methodology. Thus simultaneous encryption has been generally get for secure deduplication, essential issue of making blended encryption sensible is to capably and constantly manage a giant number of joined keys. The key thought in this paper is that we can take out duplicate copies of limit data and most distant point the mischief of stolen data in case we decrease the estimation of that stolen information to the attacker. This paper makes the first attempt to formally address the issue of fulfilling beneficial and strong key organization in secure deduplication. We first present an example approach in which each customer holds a free expert key for scrambling the joined keys and outsourcing them. In any case, such a gage key organization arrangement creates countless with the growing number of customers and obliges customers to dedicatedly secure the master keys. To this end, we propose Dekey, User Behavior Profiling and Decoys advancement. Dekey new advancement in which customers don't need to manage any keys isolated however rather securely spread the blended key shares over distinctive servers for insider assailant. As a proof of thought, we execute Dekey using the Ramp puzzle sharing arrangement and demonstrate that Dekey secures confined overhead in sensible circumstances. Customer profiling and impersonations, then, fill two needs. Beginning one is tolerating whether data access is endorsed when peculiar information access is distinguished, and second one is that mixing up the assailant for fake information.
Authors and Affiliations
Ms. Reshma D Kapadi, Mr. Pramod Patil, Mr. Prashant V. Raut
Keywords
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- EP ID EP21497
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