Techniques For Dealing With Concept Drift In Process Mining
Author(s):
Avinash, N.Sukhendar Reddy, Maraty Meena
Keywords:
Cloud computing, searchable encryption, privacypreserving, keyword search, ranked search Anonymization.
Abstract
The projects defines and solve the problem of multi-keyword ranked search over encrypted cloud data (MRSE) while preserving strict system wise privacy in the cloud computing paradigm. Data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data have to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to these keywords. Related works on searchable encryption focus on single keyword search or Boolean keyword search, and rarely sort the search results. Among various multi-keyword semantics, choosing the efficient similarity measure of “coordinate matching,” i.e., as many matches as possible, to capture the relevance of data documents to the search query.
Article Details
Unique Paper ID: 142535

Publication Volume & Issue: Volume 2, Issue 3

Page(s): 23 - 27
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