Rank Based Encrypted Cloud data Through Searching
P. Chandana
, P.Anil Kumar
Cloud computing, searchable encryption, privacy-preserving, keyword search, ranked search
With the initiation of cloud computing, data owners are encouraged to outsource their composite data management systems from restricted sites to the business public cloud for large suppleness and profitable savings. But for defending data isolation, responsive data have to be encrypted before outsourcing, which obsoletes conventional data consumption based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of supreme significance. Considering the huge numeral of data users and documents in the cloud, it is essential to allow multiple keywords in the search request and return documents in the order of their importance to these keywords, associated works on searchable encryption focus on single keyword search or Boolean keyword search, and not often sort the look for results. In this paper, we describe and resolve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing . We found a set of stringent privacy requirements for such a protected cloud data utilization system. Among various multi-keyword semantics, we choose the able equivalent measure of “coordinate matching,” i.e., as many matches as likely, to detain the implication of data documents to the look for query. We additional use “inner product similarity” to quantitatively appraise such comparison measure. We first suggest a vital idea .based on secure inner product computation, and then give two considerably improved MRSE schemes to achieve various stringent privacy requirements in two diverse hazard models. To get better search experience of the data search service, we additional extend these two schemes to support more search semantics. Meticulous analysis investigating solitude and effectiveness guarantees of proposed schemes is given cloud.
" Rank Based Encrypted Cloud data Through Searching ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.156 - 159, December-2016, Available :https://ijsdr.org/papers/IJSDR1612030.pdf
Volume 1
Issue 12,
December-2016
Pages : 156 - 159
Paper Reg. ID: IJSDR_160978
Published Paper Id: IJSDR1612030
Downloads: 000347032
Research Area: Engineering
Country: vijaywada, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
