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Secure cloud-based volume ray-casting

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

Advances in cloud computing have allowed volume rendering tasks, typically done by volume ray-casting, to be outsourced to cloud data centers. The availability of volume data and rendered images (which can contain important information such as the disease information of a patient) to a third-party cloud provider, however, presents security and privacy challenges. This paper addresses these challenges by proposing a secure cloud-based volume ray-casting framework that distributes the rendering tasks among the data centers and hides the information that is exchanged between the server and a data center, between two data centers, and between a data center and the client by using Shamir's secret sharing, such that none of the data centers has enough information to know the secret data and/or rendered image. Experiments and analyses show that our framework is highly secure and requires low computation cost.

Original languageEnglish
Title of host publicationProceedings - IEEE 5th International Conference on Cloud Computing Technology and Science, CloudCom 2013
PublisherIEEE Computer Society
Pages531-538
Number of pages8
ISBN (Electronic)9780768550954
DOIs
StatePublished - 2013
Event5th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2013 - Bristol, United Kingdom
Duration: Dec 2 2013Dec 5 2013

Publication series

NameProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
Volume1

Conference

Conference5th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2013
Country/TerritoryUnited Kingdom
CityBristol
Period12/2/1312/5/13

Keywords

  • Cloud-Based Imaging
  • Secure Multi-Party Computation
  • Shamirs Secret Sharing
  • Volume Ray-Casting

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