skip to main content
10.1145/3178487.3178520acmconferencesArticle/Chapter ViewAbstractPublication PagesppoppConference Proceedingsconference-collections
poster

SecureMR: secure mapreduce using homomorphic encryption and program partitioning

Published: 10 February 2018 Publication History

Abstract

In cloud computing customers upload data and computation to cloud providers. As they cede their data to the cloud provider, they may cede data confidentiality. We develop SecureMR, a system that analyzes and transforms MapReduce programs to operate over encrypted data. SecureMR makes use of partially homomorphic encryption and a trusted client. We evaluate SecureMR on a set of MapReduce benchmarks.

References

[1]
Yao Dong, Ana Milanova, and Julian Dolby. 2016. JCrypt: Towards Computation over Encrypted Data. In PPPJ'16. 8:1--8:12.
[2]
Meelap Shah et al. 2012. Language support for efficient computation over encrypted data. In Off the Beaten Track Workshop: Underrepresented Problems for Program. Lang. Researchers.
[3]
Sai Deep Tetali et al. 2013. MrCrypt: Static Analysis for Secure Cloud Computations. In OOPSLA'13. 271--286.
[4]
Stephen Tu et al. 2013. Processing analytical queries over encrypted data. In Proc. 39th Int. Conf. Very Large Data Bases. 289--300.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
PPoPP '18: Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
February 2018
442 pages
ISBN:9781450349826
DOI:10.1145/3178487
  • cover image ACM SIGPLAN Notices
    ACM SIGPLAN Notices  Volume 53, Issue 1
    PPoPP '18
    January 2018
    426 pages
    ISSN:0362-1340
    EISSN:1558-1160
    DOI:10.1145/3200691
    Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 February 2018

Check for updates

Qualifiers

  • Poster

Conference

PPoPP '18

Acceptance Rates

Overall Acceptance Rate 230 of 1,014 submissions, 23%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)8
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media