How does match-fixing inform computer game security?

Jeff Yan*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Match fixing is an increasingly popular phenomenon in e-Sports, namely competitive computer gaming between professional players. We first revisit the notion of security for computer games in the context of match fixing, which was never considered before. Then we offer a security economics analysis, and discuss potential countermeasures for addressing this threat. We propose a novel crowd-sourcing method for match-fixing detection. Our approach is incentive-compatible and it works for both traditional sports and eSports. We expect to raise awareness of these new issues and encourage further academic research.

Original languageEnglish
Title of host publicationSecurity Protocols XXVI
Subtitle of host publication26th International Workshop, Cambridge, UK, March 19–21, 2018, Revised Selected Papers
EditorsVashek Matyáš, Petr Švenda, Frank Stajano, Bruce Christianson, Jonathan Anderson
Place of PublicationCham, Switzerland
PublisherSpringer
Pages166-170
Number of pages5
ISBN (Electronic)9783030032517
ISBN (Print)9783030032500
DOIs
Publication statusPublished - 24 Nov 2018
Event26th International Workshop on Security Protocols, 2018 - Cambridge, United Kingdom
Duration: 19 Mar 201821 Mar 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11286 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th International Workshop on Security Protocols, 2018
Country/TerritoryUnited Kingdom
CityCambridge
Period19/03/1821/03/18

Funding

Acknowledgements. I thank Ross Anderson, John Chuang, Dah Ming Chiu and the workshop attendees for their input and stimulating discussions. This work was supported by the Knut and Alice Wallenberg Foundation.

Keywords

  • crowd-sourcing for fraud detection
  • incentives
  • online game security
  • security economics
  • security notions

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