Preserving privacy of fraud detection rule sharing using Intel's SGX

Daniel Deutch, Yehonatan Ginzberg, Tova Milo

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

Abstract

The collaboration of financial institutes against fraudsters is a promising path for reducing resource investments and increasing coverage. Yet, such collaboration is held back by two somewhat conflicting challenges: effective knowledge sharing and limiting leakage of private information. While the censorship of private information is likely to reduce knowledge sharing effectiveness, the generalization of private information to a desired degree can potentially allow, on one hand, to limit the leakage, and on the other hand, to reveal some properties of the private information that can be beneficial for sharing. In this demo we present a system that allows knowledge sharing via effective adaptation of fraud detection rules while preserving privacy. The system uses taxonomies to generalize concrete values appearing in fraud detection rules to higher level concepts which conform to some privacy/utility requirements set by the owner. Our demonstration will engage the CIKM'18 audience by showing that private information can be abstracted to enforce privacy while maintaining its usage by (partially) trusted allies.

Original languageEnglish
Title of host publicationCIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management
EditorsNorman Paton, Selcuk Candan, Haixun Wang, James Allan, Rakesh Agrawal, Alexandros Labrinidis, Alfredo Cuzzocrea, Mohammed Zaki, Divesh Srivastava, Andrei Broder, Assaf Schuster
PublisherAssociation for Computing Machinery
Pages1935-1938
Number of pages4
ISBN (Electronic)9781450360142
DOIs
StatePublished - 17 Oct 2018
Event27th ACM International Conference on Information and Knowledge Management, CIKM 2018 - Torino, Italy
Duration: 22 Oct 201826 Oct 2018

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference27th ACM International Conference on Information and Knowledge Management, CIKM 2018
Country/TerritoryItaly
CityTorino
Period22/10/1826/10/18

Keywords

  • Collaboration
  • Fraud Detection
  • Privacy
  • Software Guard Extensions
  • Taxonomy

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