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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.
| Original language | English |
|---|---|
| Pages (from-to) | 669-692 |
| Journal | Applied Mathematics and Optimization |
| Volume | 74 |
| Issue number | 3 |
| Online published | 9 Nov 2016 |
| DOIs | |
| Publication status | Published - Dec 2016 |
| Externally published | Yes |
Research Keywords
- Botnet defence
- Mean-field game
- Phase transitions
- Stable equilibrium
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
RGC Funding Information
- RGC-funded
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Dive into the research topics of 'Mean-Field-Game Model for Botnet Defense in Cyber-Security'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Mean Field Control with Partial Information
BENSOUSSAN, A. (Principal Investigator / Project Coordinator) & YAM, P.S.-C. (Co-Investigator)
1/01/17 → 1/12/20
Project: Research