Abstract
HORAM: Hybrid Oblivious Random Access Memory Scheme for Secure Path Hiding in Distributed Environment
Highlights
Big data analytics is becoming very easy with the evolving techniques in big data management and cloud storage
By considering previous works main inspiration of this paper is to seek out solution which can provide combined solution with maintaining privacy and improving performance of existing Oblivious Random Access Machine (ORAM) technique
Experimental analysis shows that the hybrid oblivious random-access memory (HORAM) gives better results in terms of computation time
Summary
Big data analytics is becoming very easy with the evolving techniques in big data management and cloud storage. Many of the existing techniques are able to provide obliviousness to metadata but failed to improve performance with increasing data. By considering previous works main inspiration of this paper is to seek out solution which can provide combined solution with maintaining privacy and improving performance of existing ORAM technique. Our Contribution: We design our system to achieve main three goals: 1) To reduce complexity and response time 2) To secure metadata with active adversary attacks 3) To improve performance of overall system with increase in number of users. As previous ORAM technique strong FEDORAM [28] faces problem of high response time for communication in between client and server, our proposed system tries to reduce the execution time for pull-push operations by making the system work in parallel manner.
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