Published December 2016
| Version v1
Journal article
Mean-Field-Game Model for Botnet Defense in Cyber-Security
Creators
- 1. University of Warwick, Department of Statistics (United Kingdom)
- 2. The University of Texas at Dallas, School of Management (United States)
Description
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.
Additional details
Identifiers
Publishing Information
- Journal Title
- Applied Mathematics and Optimization
- Journal Volume
- 74
- Journal Issue
- 3
- Journal Page Range
- p. 669-692
- ISSN
- 0095-4616
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48064089
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- DECISION MAKING; EXACT SOLUTIONS; INFORMATION THEORY; MEAN-FIELD THEORY; STOCHASTIC PROCESSES; SWITCHES
- Descriptors DEC
- ELECTRICAL EQUIPMENT; EQUIPMENT; MATHEMATICAL SOLUTIONS
Optional Information
- Copyright
- Copyright (c) 2016 The Author(s)
- Notes
- http://www.springer-ny.com