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

doi:10.1007/978-3-319-11212-1_11

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 proceeding › Conference article published in proceeding or book › Academic research › peer-review

10 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 language	English
Title of host publication	Computer Security, ESORICS 2014 - 19th European Symposium on Research in Computer Security, Proceedings
Publisher	Springer Verlag
Pages	182-199
Number of pages	18
Edition	PART 2
ISBN (Print)	9783319112114
DOIs	https://doi.org/10.1007/978-3-319-11212-1_11
Publication status	Published - 1 Jan 2014
Event	19th European Symposium on Research in Computer Security, ESORICS 2014 - Wroclaw, Poland Duration: 7 Sept 2014 → 11 Sept 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8713 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th European Symposium on Research in Computer Security, ESORICS 2014
Country/Territory	Poland
City	Wroclaw
Period	7/09/14 → 11/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Big Data
Online Survey
Privacy

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-319-11212-1_11

Cite this

Liu, J. K., Au, M. H. A., Huang, X., Susilo, W., Zhou, J., & Yu, Y. (2014). New insight to preserve online survey accuracy and privacy in big data era. In Computer Security, ESORICS 2014 - 19th European Symposium on Research in Computer Security, Proceedings (PART 2 ed., pp. 182-199). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8713 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-319-11212-1_11

Liu, Joseph K. ; Au, Man Ho Allen ; Huang, Xinyi et al. / New insight to preserve online survey accuracy and privacy in big data era. Computer Security, ESORICS 2014 - 19th European Symposium on Research in Computer Security, Proceedings. PART 2. ed. Springer Verlag, 2014. pp. 182-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Liu, JK, Au, MHA, Huang, X, Susilo, W, Zhou, J & Yu, Y 2014, New insight to preserve online survey accuracy and privacy in big data era. in Computer Security, ESORICS 2014 - 19th European Symposium on Research in Computer Security, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8713 LNCS, Springer Verlag, pp. 182-199, 19th European Symposium on Research in Computer Security, ESORICS 2014, Wroclaw, Poland, 7/09/14. https://doi.org/10.1007/978-3-319-11212-1_11

New insight to preserve online survey accuracy and privacy in big data era. / Liu, Joseph K.; Au, Man Ho Allen; Huang, Xinyi et al.
Computer Security, ESORICS 2014 - 19th European Symposium on Research in Computer Security, Proceedings. PART 2. ed. Springer Verlag, 2014. p. 182-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8713 LNCS, No. PART 2).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Yu, Yong

PY - 2014/1/1

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AB - 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.

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Liu JK, Au MHA, Huang X, Susilo W, Zhou J, Yu Y. New insight to preserve online survey accuracy and privacy in big data era. In Computer Security, ESORICS 2014 - 19th European Symposium on Research in Computer Security, Proceedings. PART 2 ed. Springer Verlag. 2014. p. 182-199. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-319-11212-1_11

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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Cite this