Network trace anonymization using a prefix-preserving condensation-based technique

Ahmed Aleroud, Zhiyuan Chen, George Karabatis

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

Abstract

This paper proposes a method to anonymize network trace data by utilizing a novel perturbation technique that has strong privacy guarantee and at the same time preserves data utility. The resulting dataset can be used for security analysis, retaining the utility of the original dataset, without revealing sensitive information. Our method utilizes a condensation based approach with strong privacy guarantees, suited for cloud environments. Experiments show that the method performs better than existing anonymization techniques in terms of privacy-utility trade off, and it surpasses existing techniques in attack prediction accuracy.

Original languageEnglish (US)
Title of host publicationOn the Move to Meaningful Internet Systems
Subtitle of host publicationOTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings
EditorsTharam Dillon, Christophe Debruyne, Declan Oâ’Sullivan, Herve Panetto, Eva Kuhn, Claudio Agostino Ardagna, Robert Meersman
PublisherSpringer Verlag
Pages934-942
Number of pages9
ISBN (Print)9783319484716
DOIs
StatePublished - 2016
Externally publishedYes
EventConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016 - Rhodes, Greece
Duration: Oct 24 2016Oct 28 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10033 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016
Country/TerritoryGreece
CityRhodes
Period10/24/1610/28/16

Keywords

  • Anonymization
  • Data mining
  • Intrusion detection
  • Network traces
  • Privacy preserving

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Network trace anonymization using a prefix-preserving condensation-based technique'. Together they form a unique fingerprint.

Cite this