QSCK: Quick Search using Searchable Chipertext Keywords for Cloud Storage

Abstract

At present scenario, data owners are storing their data in semi trusted cloud storage. Since the cloud storage is not fully trusted the data should be encrypted and stored in cloud. If the stored data volume is huge, for retrieval there should be a search engine and index keyword. If hackers are getting the index keyword they have the clue of the important files so that, in this system we are introducing searchable chipertext keywords. That means the keywords are in encrypted form. Consider access control over the cloud data, the technic at present used are Attribute Based Encryption (ABE) or Identity Based Encryption (IBE) these techniques requires lot of computation and slow in retrieval process. In proposed system we are using Bloom Filter based Chipertext index keywords which provide the search result very quickly with less computation and process.

Authors and Affiliations

Vomshi P R

Keywords

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  • EP ID EP243490
  • DOI -
  • Views 130
  • Downloads 0

How To Cite

Vomshi P R (2016). QSCK: Quick Search using Searchable Chipertext Keywords for Cloud Storage. International journal of Emerging Trends in Science and Technology, 3(4), 3783-3788. https://europub.co.uk./articles/-A-243490