Abstract
Broadly speaking an individual can invest time and effort to avoid becoming victim to a cyber attack and/or they can invest resource in recovering from any attack. We introduce a new game called the prevention and recovery game to study this trade-off. We report results from the experimental lab that allow us to categorize different approaches to risk taking. We show that many individuals appear relatively risk loving in that they invest in recovery rather than prevention. We find little difference in behavior between a gain and loss framing.
Original language | English |
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Title of host publication | Decision and Game Theory for Security - 10th International Conference, GameSec 2019, Proceedings |
Editors | Tansu Alpcan, Yevgeniy Vorobeychik, John S. Baras, György Dán |
Publisher | Springer |
Pages | 135-151 |
Number of pages | 17 |
ISBN (Print) | 9783030324292, 9783030324308 |
DOIs | |
Publication status | E-pub ahead of print - 23 Oct 2019 |
Event | 10th Conference on Decision and Game Theory for Security - Stockholm, Sweden Duration: 30 Oct 2019 → 1 Nov 2019 https://www.gamesec-conf.org/ |
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 | 11836 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 10th Conference on Decision and Game Theory for Security |
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Abbreviated title | GameSec 2019 |
Country/Territory | Sweden |
City | Stockholm |
Period | 30/10/19 → 1/11/19 |
Internet address |
Keywords
- Cyber-security
- Insurance
- Ransomware
- Recovery
- Risk aversion
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)