Privacy Preserving Multi Keyword Search over Outsourced Cloud Data Using N-Gram
V. Krishna Reddy1, Ch. Srikala2, Nishmai Chowdary V3, G. Sai Raghava4, Roshan Baig5
1Dr. V. Krishna Reddy, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
2Ch. Srikala, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
3Nishmai Chowdary V, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
4G. Sai Raghava, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
5Roshan Baig, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
Manuscript received on 23 April 2019 | Revised Manuscript received on 05 May 2019 | Manuscript Published on 17 May 2019 | PP: 125-129 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10240476S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the increased use of cloud computing, cloud information owners are exasperated to reproduce the perplexing information management systems from local servers to the infinite open cloud for business purposes and reserved funds. In any scenario to make sure the information is secure and protected, all the sensitive data such as medical records, tax files must be cryptic before outsourcing it to the cloud. So, we can no longer depend on the customary plain keyword search to get the required information. By supporting the outsourced cloud information has a central future significance. When realizing the numerous numbers of files and records outsourced into the cloud by the information proprietors, it is a necessity to have a vast allowance of keywords so that any user in pursuit of a file can request them by their significant keywords. Most of the encrypted searches revolve around a single search or Boolean search and doesn‟t provide an effective search results. We here tackle this situation and use the multi-keyword ranked seeks over the scrambled data. We make use of the best encryption standards and other prerequisites to provide proper security. For the multi keyword search we make use of the „cosine search similarity‟ and “coordinate matching”. We initially discuss about an essential thought for the MRSE dependent on inward item calculation, and after that give fundamentally hybrid MRSE plans to carry out rigorous necessities in a diverse risk models. To enhance seek understanding of the information look benefit, we additionally stretch out these two plans to help more inquiry semantics with N-gram Features.
Keywords: Cloud Computing, Privacy, Encryption, Multiple Keywords and Ranked Search Technique.
Scope of the Article: Cloud Computing