Time-efficient algorithm on degree anonymization by combination of vertex and edge addition

Tong Wu, Chao Peng

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

Abstract

In previous work about privacy preservation of graph modeled network, k-degree-anonymization has been a well-developed subject. We studied various researches on both edge addition and vertex addition. In many algorithms, the edge addition is a heuristic process, which may bring in some extra time cost. Interested in the problem, we introduce the idea of vertex addition, and develop a framework that combines edge addition and vertex addition. We use a greedy idea to add edges in the original graph, and use as least pseudo vertices as possible to produce a k-degree-anonymous graph. The time efficiency of our approach lies on the nature of greed edge addition.

Original languageEnglish
Title of host publicationProceedings of 2017 11th IEEE International Conference on Anti-Counterfeiting, Security, and Identification, ASID 2017
EditorsJianyang Zhou, Donghui Guo, Jiyang Dong
PublisherIEEE Computer Society
Pages16-20
Number of pages5
ISBN (Electronic)9781538605325
DOIs
StatePublished - 2 Jul 2017
Event11th IEEE International Conference on Anti-Counterfeiting, Security, and Identification, ASID 2017 - Xiamen, China
Duration: 27 Oct 201729 Oct 2017

Publication series

NameProceedings of the International Conference on Anti-Counterfeiting, Security and Identification, ASID
Volume2017-October
ISSN (Print)2163-5048
ISSN (Electronic)2163-5056

Conference

Conference11th IEEE International Conference on Anti-Counterfeiting, Security, and Identification, ASID 2017
Country/TerritoryChina
CityXiamen
Period27/10/1729/10/17

Keywords

  • Component
  • Edge addition
  • Greedy algorithm
  • K-anonymous graph
  • Privacy
  • Vertex addition

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