New insight to preserve online survey accuracy and privacy in big data era

Joseph K. Liu, Man Ho Allen Au, Xinyi Huang, Willy Susilo, Jianying Zhou, Yong Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

An online survey system provides a convenient way for people to conduct surveys. It removes the necessity of human resources to hold paper surveys or telephone interviews and hence reduces the cost significantly. Nevertheless, accuracy and privacy remain as the major obstacles that need additional attention. To conduct an accurate survey, privacy maybe lost, and vice versa. In this paper, we provide new insight to preserve these two seeming contradictory issues in online survey systems especially suitable in big data era. We propose a secure system, which is shown to be efficient and practical by simulation data. Our analysis further shows that the proposed solution is desirable not only in online survey systems but also in several potential applications, including E-Voting, Smart-Grid and Vehicular Ad Hoc Networks.
Original languageEnglish
Title of host publicationComputer Security, ESORICS 2014 - 19th European Symposium on Research in Computer Security, Proceedings
PublisherSpringer Verlag
Pages182-199
Number of pages18
EditionPART 2
ISBN (Print)9783319112114
DOIs
Publication statusPublished - 1 Jan 2014
Event19th European Symposium on Research in Computer Security, ESORICS 2014 - Wroclaw, Poland
Duration: 7 Sep 201411 Sep 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8713 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th European Symposium on Research in Computer Security, ESORICS 2014
CountryPoland
CityWroclaw
Period7/09/1411/09/14

Keywords

  • Big Data
  • Online Survey
  • Privacy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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