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Security design in human computation games

Su Yang Yu*, Jeff Yan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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.

Original languageEnglish
Title of host publicationSecurity Protocols XVIII - 18th International Workshop, Revised Selected Papers
EditorsBruce Christianson, James Malcolm
PublisherSpringer-Verlag
Pages142-153
Number of pages12
Volume7061
ISBN (Electronic)9783662459201
DOIs
Publication statusPublished - 1 Jan 2014
Event18th International Workshop Security Protocols - Cambridge, United Kingdom
Duration: 24 Mar 201026 Mar 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7061
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Workshop Security Protocols
Country/TerritoryUnited Kingdom
CityCambridge
Period24/03/1026/03/10

Keywords

  • binary labeling
  • CAPTCHA
  • cheating
  • collusion
  • ‘Cat or Dog’ game
  • security issues

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