Analysing Algorithms for Querying Encrypted Database
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
With the invent of cloud computing, database outsourcing has emerged as a new platform. After the introduction of Database-as-a-Service (DAS) model organizations are outsourcing management of their data to third party cloud service providers. A cloud database runs on a cloud computing platform, such as Amazon EC2, GoGrid, Salesforce and Rackspace. Secret and sensitive information contained in the database may be captured and leaked by a curious cloud database vendor. To protect data integrity and confidentiality database need to be encrypted before being outsourced to the cloud. Various bucketization techniques are used for executing queries on an encrypted database on a cloud. This paper is an extension of the work done by researchers. Query Optimal Bucketization (QOB) algorithm divides the server data into buckets subject to an optimality constraint. Query Based Bucketization (QBB) algorithm uses the prior information of query distribution to bucketize the server data. In this paper an improved algorithm based on QBB was proposed to reduce the total number False-Positives received while querying the encrypted database.
Authors and Affiliations
Mohmad Ibraheem, Mr. Jasbir Singh
Keywords
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