A Secure Searchable Encryption Framework for Privacy-Critical Cloud Storage Services

Authors

  • K. Jyothi Priya
  • S. Ashwini

Abstract

Searchable encryption has gotten a basic thought from the investigation connect with various advancements being proposed, each achieving asymptotically perfect multifaceted nature for express estimations. Disregarding their clean, the continuous ambushes and sending attempts have exhibited that the perfect asymptotic multifaceted design may not commonly derive sensible execution, especially if the application demands a high security. In this article, we present a novel Dynamic Searchable Symmetric Encryption system called Incidence Matrix, which accomplishes a raised level of security, practical intrigue/update, and low customer storing up with veritable courses of action on guaranteed cloud settings. We handle an occasion organize near to two hash tables to make an encoded record, on which both ask for and invigorate tasks can be performed sufficiently with insignificant data spillage. This basic arrangement of information structures incredibly offers a basic level of DSSE security while accomplishing sensible execution. In particular, IM-DSSE accomplishes forward-security, thus around protection and size-lack of regard simultaneously. We in like way make a couple DSSE assortments, each offering specific tradeoffs that are fitting for various cloud applications and foundations. We completely finished our structure and assessed its presentation on a genuine cloud framework (Amazon EC2). We have discharged IM-DSSE as an open-source library for wide movement and change.

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Published

2020-02-19

Issue

Section

Articles