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Erschienen in:
2014 | OriginalPaper | Buchkapitel
New Insight to Preserve Online Survey Accuracy and Privacy in Big Data Era
verfasst von : Joseph K. Liu, Man Ho Au, Xinyi Huang, Willy Susilo, Jianying Zhou, Yong Yu
Erschienen in: Computer Security - ESORICS 2014
Verlag: Springer International Publishing
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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.