On the relative de-anonymizability of graph data: Quantification and evaluation

Shouling Ji, Weiqing Li, Shukun Yang, Prateek Mittal, Raheem Beyah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

In this paper, we propose a structural importance-aware approach to quantify the vulnerability/de-anonymizability of graph data to structure-based De-Anonymization (DA) attacks [1][2][3][4]. Specifically, we quantify both the seed-based and the seed-free Relative De-anonymizability (RD) of graph data for both perfect DA (successfully de-anonymizing all the target users) and partial DA (where some DA error is tolerated) under a general data model. In our relative quantification, instead of treating all the users in graph data as structurally equivalent, we adaptively quantify their RD in terms of their structural importance. Leveraging 15 real world graph datasets, we validate the accuracy of our relative quantifications and compare them with state-of-the-art seed-based and seed-free quantification techniques. The results demonstrate that our structural importance-aware relative quantifications are more sound and precise when measuring graph data's real vulnerability/de-anonymizability.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467399531
DOIs
StatePublished - Jul 27 2016
Event35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - San Francisco, United States
Duration: Apr 10 2016Apr 14 2016

Publication series

NameProceedings - IEEE INFOCOM
Volume2016-July
ISSN (Print)0743-166X

Other

Other35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
CountryUnited States
CitySan Francisco
Period4/10/164/14/16

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

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