Game Theory Based Network Security
Yi Luo, Ferenc Szidarovszky, Youssif Al-Nashif, Salim Hariri
DOI: 10.4236/jis.2010.11005   PDF    HTML     7,081 Downloads   16,335 Views   Citations


The interactions between attackers and network administrator are modeled as a non-cooperative non-zero-sum dynamic game with incomplete information, which considers the uncertainty and the special properties of multi-stage attacks. The model is a Fictitious Play approach along a special game tree when the attacker is the leader and the administrator is the follower. Multi-objective optimization methodology is used to predict the attacker’s best actions at each decision node. The administrator also keeps tracking the attacker’s actions and updates his knowledge on the attacker’s behavior and objectives after each detected attack, and uses it to update the prediction of the attacker’s future actions. Instead of searching the entire game tree, appropriate time horizons are dynamically determined to reduce the size of the game tree, leading to a new, fast, adaptive learning algorithm. Numerical experiments show that our algorithm has a significant reduction in the damage of the network and it is also more efficient than other existing algorithms.

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Y. Luo, F. Szidarovszky, Y. Al-Nashif and S. Hariri, "Game Theory Based Network Security," Journal of Information Security, Vol. 1 No. 1, 2010, pp. 41-44. doi: 10.4236/jis.2010.11005.

Conflicts of Interest

The authors declare no conflicts of interest.


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