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Title: New insight to preserve online survey accuracy and privacy in big data era
Authors: Liu, JK
Au, MH 
Huang, X
Susilo, W
Zhou, J
Yu, Y
Keywords: Big Data
Online Survey
Issue Date: 2014
Publisher: Springer
Source: In M Kutyłowski & J Vaidya (Eds.), Computer security--ESORICS 2014 : 19th European Symposium on Research in Computer Security, Wrocław, Poland, September 7-11, 2014 : proceedings. Part II, p. 182-199. Cham : Springer, 2014 How to cite?
Series/Report no.: Lecture notes in computer science, 2014, v. 8713
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.
ISBN: 3319112120 (pt.2 : electronic book)
9783319112121 (pt.2 : electronic book)
9783319112114 (pt.2 : print)
ISSN: 0302-9743 (print)
1611-3349 (online)
DOI: 10.1007/978-3-319-11212-1_11
Appears in Collections:Book Chapter

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