An enhanced method for privacy preservation in data publishing

Christy Thomas, Diya Thomas

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

2 Citations (Scopus)

Abstract

Privacy-maintaining data release is one of the most important challenges in an information system, because of the wide collection of sensitive information on the internet. A number of solutions have been designed for privacy-maintaining data release. This paper provides an inspection of the state-of-the-art methods for privacy protection. The paper discusses novel and powerful privacy definitions which can be categorized into microdata anonymity methods and differential privacy methods for privacy-maintaining data release. The methods include k-anonymity, l-diversity, t-closeness and js-reduce defense. This paper proposes an enhanced method which will prevents sequential background knowledge attack and provides some anonymization also.

Original languageEnglish
Title of host publication2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-5
Number of pages5
ISBN (Electronic)9781479939268
ISBN (Print)9781479939251
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes
Event2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013 - Tiruchengode, India
Duration: 4 Jul 20136 Jul 2013

Conference

Conference2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013
CountryIndia
CityTiruchengode
Period4/07/136/07/13

Keywords

  • JS-Reduce
  • K-Anonymity
  • L-Diversity
  • T-Closeness

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