TY - JOUR
T1 - Modelling misbehaviour in ad hoc networks
T2 - a game theoretic approach for intrusion detection
AU - Liu, Yu
AU - Comaniciu, Cristina
AU - Man, Hong
PY - 2006
Y1 - 2006
N2 - In wireless ad hoc networks, although defence strategies such as Intrusion Detection Systems (IDSs) can be deployed at individual nodes, significant constraints are imposed in terms of the energy expenditure of such systems. In this paper, we use a game theoretic framework to analyse the interactions between pairs of attacking/defending nodes, in both static and dynamic contexts, and considering both complete and incomplete information regarding the maliciousness of neighbouring nodes. The static case analysis provides the defender with an overview of the security situation in terms of risk and monitoring cost. A dynamic Bayesian game formulation allows the defender to adjust his belief about his opponent based on his observations and the game history, and consequently to influence the achievable Nash equilibrium for new stage game. A new Bayesian hybrid detection system is proposed for the defender, which balances energy costs and monitoring gains.
AB - In wireless ad hoc networks, although defence strategies such as Intrusion Detection Systems (IDSs) can be deployed at individual nodes, significant constraints are imposed in terms of the energy expenditure of such systems. In this paper, we use a game theoretic framework to analyse the interactions between pairs of attacking/defending nodes, in both static and dynamic contexts, and considering both complete and incomplete information regarding the maliciousness of neighbouring nodes. The static case analysis provides the defender with an overview of the security situation in terms of risk and monitoring cost. A dynamic Bayesian game formulation allows the defender to adjust his belief about his opponent based on his observations and the game history, and consequently to influence the achievable Nash equilibrium for new stage game. A new Bayesian hybrid detection system is proposed for the defender, which balances energy costs and monitoring gains.
KW - Bayesian game
KW - ad hoc network
KW - attacker/defender game
KW - non-cooperative game
KW - non-zero-sum game
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U2 - 10.1504/ijsn.2006.011784
DO - 10.1504/ijsn.2006.011784
M3 - Article
AN - SCOPUS:67649498303
SN - 1747-8405
VL - 1
SP - 243
EP - 254
JO - International Journal of Security and Networks
JF - International Journal of Security and Networks
IS - 3-4
ER -