Optimal Defense Strategy in WSNs Based on the Game of Multi-stage Intrusion Detection

To overcome the problem that the performance of intrusion detection deteriorates significantly in resource-constrained wireless sensor networks, a dynamically multi-stage game model of intrusion detection is proposed. Based on the Bayesian rules and prior probability that external node is a malicious node in this stage, the posterior probability of external node and the set of node vulnerable to attack are formulated respectively. Then, the optimal defense strategy for intrusion detection is calculated accurately according to the conditions of perfect Bayesian equilibrium. On this basis, a novel scheme for intrusion detection is proposed in WSNs based on the optimal strategy of multi-stage game model. Finally, experimental results show that the developed scheme has distinct advantage in improving the success rate of detection and suppression in clustered WSNs.