Security design in human computation games

Yu, Su Yang and Yan, Jeff (2014) Security design in human computation games. In: Security Protocols XVIII. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Verlag, GBR, pp. 142-153. ISBN 9783662459201

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Abstract

We consider a binary labelling problem: for some machine learning applications, two types of distinct objects are required to be labeled respectively, before a classifier can be trained. We show that the famous ESP game and variants would not work well on this binary labelling problem. We discuss how to design a new human computation game to solve this problem. It turns out that interesting but subtle security issues emerge in the new game. We introduce novel gaming mechanisms, such as ‘guess disagreement’, which improve the game’s security, usability and productivity simultaneously.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2614
Subjects:
ID Code:
77679
Deposited By:
Deposited On:
14 Jan 2016 11:46
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 05:53