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 language | English |
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Title of host publication | Security Protocols XXVI |
Subtitle of host publication | 26th International Workshop, Cambridge, UK, March 19–21, 2018, Revised Selected Papers |
Editors | Vashek Matyáš, Petr Švenda, Frank Stajano, Bruce Christianson, Jonathan Anderson |
Place of Publication | Cham, Switzerland |
Publisher | Springer |
Pages | 166-170 |
Number of pages | 5 |
ISBN (Electronic) | 9783030032517 |
ISBN (Print) | 9783030032500 |
DOIs | |
Publication status | Published - 24 Nov 2018 |
Event | 26th International Workshop on Security Protocols, 2018 - Cambridge, United Kingdom Duration: 19 Mar 2018 → 21 Mar 2018 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11286 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 26th International Workshop on Security Protocols, 2018 |
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Country/Territory | United Kingdom |
City | Cambridge |
Period | 19/03/18 → 21/03/18 |
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