A novel CFAR intrusion detection method using chaotic stochastic resonance

A novel constant false alarm rate (CFAR) intrusion detection method based on chaotic stochastic resonance is proposed in this paper. The spectral power (SP) and signal-to-noise ratio (SNR) of the intrusion signal in a network can be improved through a chaotic stochastic resonance system, therefore enhancing the detectability of network attacks. The CFAR threshold is also derived here theoretically. Computer simulations based on standard DARPA network intrusion data show that the proposed approach is superior to other standard intrusion detection methods.