Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2006
Abstract
Private data matching between the data sets of two potentially distrusted parties has a wide range of applications. However, existing solutions have substantial weaknesses and do not meet the needs of many practical application scenarios. In particular, practical private data matching applications often require discouraging the matching parties from spoofing their private inputs. In this paper, we address this challenge by forcing the matching parties to "escrow" the data they use for matching to an auditorial agent, and in the "after-the-fact" period, they undertake the liability to attest the genuineness of the escrowed data.
Keywords
data privacy, secure multi-party computation
Discipline
Information Security
Research Areas
Cybersecurity
Publication
CIKM '06: Proceedings of ACM 15th Conference on Information and Knowledge Management, Arlington, November 6-11
First Page
852
Last Page
853
ISBN
9781595934338
Identifier
10.1145/1183614.1183763
Publisher
ACM
City or Country
New York
Citation
YANG, Yanjiang; DENG, Robert H.; and BAO, Feng.
Practical Private Data Matching Deterrent to Spoofing Attacks. (2006). CIKM '06: Proceedings of ACM 15th Conference on Information and Knowledge Management, Arlington, November 6-11. 852-853.
Available at: https://ink.library.smu.edu.sg/sis_research/546
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/1183614.1183763