Privacy-preserving data collection with self-awareness protection

Kok Seng Wong, Myung Ho Kim

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

5 Citations (Scopus)


Data privacy protection is an emerging issue in data collection due to increasing concerns related to security and privacy. In the current data collection approaches, data collector is a dominant player who enforces the secure protocol. In other words, privacy protection is only defined by the data collector without the participation of any respondents. Furthermore, the privacy protection becomes more crucial when the raw data analysis is performed by the data collector itself. In view of this, some of the respondents might refuse to contribute their personal data or submit inaccurate data. In this paper, we study a self-awareness protocol to raise the confidence of the respondents when submitting their personal data to the data collector. Our self-awareness protocol requires each respondent to help others in preserving his privacy. At the end of the protocol execution, respondents can verify the protection level (i.e., k-anonymity) they will receive from the data collector.

Original languageEnglish
Title of host publicationFrontier and Innovation in Future Computing and Communications
EditorsAlbert Zomaya, James J. Park, Hwa-Young Jeong, Mohammad Obaidat
PublisherSpringer Verlag
Number of pages7
ISBN (Electronic)9789401787970
Publication statusPublished - Jan 1 2014
Externally publishedYes
Event2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014 - Auckland, New Zealand
Duration: Jan 13 2014Jan 16 2014

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014
CountryNew Zealand


  • K-anonymity
  • Privacy-preserving data collection
  • Self-awareness privacy protection

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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