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Presentation
RASP-QS: Efficient and Confidential Query Services in the Cloud
Kno.e.sis Publications
  • Zohreh S. Alavi
  • Lu Zhou, Wright State University - Main Campus
  • James L. Powers, Wright State University - Main Campus
  • Keke Chen, Wright State University
Document Type
Conference Proceeding
Publication Date
9-1-2014
Abstract
Hosting data query services in public clouds is an attractive solution for its great scalability and significant cost savings. However, data owners also have concerns on data privacy due to the lost control of the infrastructure. This demonstration shows a prototype for efficient and confidential range/kNN query services built on top of the random space perturbation (RASP) method. The RASP approach provides a privacy guarantee practical to the setting of cloudbased computing, while enabling much faster query processing compared to the encryption-based approach. This demonstration will allow users to more intuitively understand the technical merits of the RASP approach via interactive exploration of the visual interface.
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This work is licensed under the Creative Commons AttributionNonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/. Obtain permission prior to any use beyond those covered by the license.

Presented at the 40th International Conference on Very Large Data Bases, Hangzhou, China, September 1-5, 2014.

Citation Information
Zohreh S. Alavi, Lu Zhou, James L. Powers and Keke Chen. "RASP-QS: Efficient and Confidential Query Services in the Cloud" (2014)
Available at: http://works.bepress.com/keke_chen/52/