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Improved Lattice-Based Encryption with LP Solver for Secured Outsourced Data in Cloud Computing

  • Vemuri Sudarsan RaoEmail author
  • N. Satyanarayana
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)

Abstract

Cloud computing has created an intense impact over different applications with limited computational resources. Since, it works on pay-per-use manner; a massive amount of computational power is utilized. Anyhow, Security is the most vital thing for the outsourced data in cloud systems. Thus, secure outsourcing mechanisms are in great need to not only protect sensitive information by enabling computations with encrypted data, but also protect customers from malicious behaviors by validating the computation result. Such a mechanism of general secure computation outsourcing was recently shown to be feasible in theory, but to design mechanisms that are practically efficient remains a very challenging problem. In this paper, we focus on providing security to the outsourced data via improved Lattice-Based Encryption (LBE). Identifying hard computational problems which are amenable for cryptographic use is a very important task. With the help of Linear Programming (LP) solver, the cloud data are encrypted using LBE model which provides strong security proofs for the outsourced data. Initially, we will discover the highly significant sensitive attributes and stored in the lattice structure. LP solver is used as the cost objective function that minimizes the computational cost for every larger computational data used for outsourcing to the cloud server. Time is the research metric used for validating the proposed model via effectiveness, efficiency and outsourcing key generation. It is evident from the analysis that our proposed data outsourcing model ensures lessened overhead with lessened time taken for computing larger number of users.

Keywords

Cloud computing Data outsourcing Data computation Lattice structure Linear programming and time 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of CSEKhammam Institute of Technology and SciencesKhammamIndia
  2. 2.Nagole Institute of Technology and SciencesHyderabadIndia

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