Mean-Field-Game Model for Botnet Defense in Cyber-Security
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 669-692 |
Journal / Publication | Applied Mathematics and Optimization |
Volume | 74 |
Issue number | 3 |
Online published | 9 Nov 2016 |
Publication status | Published - Dec 2016 |
Externally published | Yes |
Link(s)
DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-84994460480&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(f21f82f7-31e4-4796-8f27-7ed738d1abbf).html |
Abstract
We initiate the analysis of the response of computer owners to various offers of defence systems against a cyber-hacker (for instance, a botnet attack), as a stochastic game of a large number of interacting agents. We introduce a simple mean-field game that models their behavior. It takes into account both the random process of the propagation of the infection (controlled by the botner herder) and the decision making process of customers. Its stationary version turns out to be exactly solvable (but not at all trivial) under an additional natural assumption that the execution time of the decisions of the customers (say, switch on or out the defence system) is much faster that the infection rates.
Research Area(s)
- Botnet defence, Mean-field game, Phase transitions, Stable equilibrium
Citation Format(s)
Mean-Field-Game Model for Botnet Defense in Cyber-Security. / Kolokoltsov, V. N.; Bensoussan, A.
In: Applied Mathematics and Optimization, Vol. 74, No. 3, 12.2016, p. 669-692.
In: Applied Mathematics and Optimization, Vol. 74, No. 3, 12.2016, p. 669-692.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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