Abstract
Objective: To study the efficient phrase search technique on the basis of Bloom filters that is considerably faster compared to existing solutions. Methods/Statistical Analysis: Nowadays, keyword search is very popular technique to retrieve the data from clouds, in which the keyword can be processed over encrypted data and retrieve most of irrelevant results. Many authors investigate the different searching techniques to retrieve sensitive information from the clouds. But few of them only focus on conjunctive keyword search. Hence, in this paper we present An Efficient Phrase Search technique using Bloom filters that are very fast compared with existing techniques and our scheme reduce storage and computational overheads. Findings: To evaluate our scheme we collect the set of 1500 documents and these documents are pre-processed to avoid headers and footers to decrease the distorted in the statistics of the given dataset. Then we apply the Bloom filters technique to improve the performance in our scheme. Finally, our scheme achieves lower storage and computational overheads rather than existing techniques. Applications/Improvements: Our proposed technique explores a series of n-gram filters to uphold the functionality. The scheme manifests a trade-off between storage and false positive rate. Keywords: Bloom Filters, Cloud Computing, Multiple Keyword Search, Phrase Search
Highlights
As associations and people actualize cloud advances, many have turned out to be aware of the genuine concern in regards to security and privacy of accessing private information over the Internet
We shown changes to the plan to diminish the storage cost at a little expense time and to ensure against cloud providers with measurable information on confidential information
To assess our outcomes against existing phrase search plans, we specify the calculation on a corpus comprising of 1500 reports made accessible by Project Gutenberg
Summary
As associations and people actualize cloud advances, many have turned out to be aware of the genuine concern in regards to security and privacy of accessing private information over the Internet. To solve this problem generally encryption is required and cloud providers use the full encryption and protect the private keys of owners. Specialists have been seeking after arrangements with the end goal to give secure storage on private and public clouds where private keys kept up by the owners. Specialists have anticipated arrangements on conjunctive keyword search, which contains complex catchphrases[3, 4]. We shown changes to the plan to diminish the storage cost at a little expense time and to ensure against cloud providers with measurable information on confidential information
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