Achieving data privacy on hybrid cloud

Abstract

In this paper, we propose a novel scheme that can achieve data privacy by hybrid cloud, which consists of public and private cloud, and reduce storage and computation in private cloud, as well as communication overhead between private and public cloud. Meanwhile, we propose a novel algorithm to process private image data. Our experimental results show that (1) our algorithm achieves data privacy but only takes about 1/1000, time of the Advanced Encryption Standard algorithm and (2) the delay of our hybrid cloud approach (including the private and public cloud communications) is only 3%–5% more compared with the traditional public cloud‐only approach. Copyright © 2015 John Wiley & Sons, Ltd.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 24, 2015
Source ID
10.1002/sec.1298

Entities

People

  • Xiaojiang Du
  • Xueli Huang

Organizations

  • Army Research Office
  • Temple University

Tags

Fields of Study

  • Computer science

Readers

  • Atmospheric Remote Sensing.
  • Computer Networking
  • Government and Public Administration Law.