Published December 2016 | Version v1
Journal article

Mean-Field-Game Model for Botnet Defense in Cyber-Security

  • 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
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