Detection of Network Intrusion Signal in Deep Camouflage Based on Chaotic Synchronization

Cai Tian Zhang; Yi Bo Zhang

doi:10.4028/www.scientific.net/AMM.380-384.2695

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Detection of Network Intrusion Signal in Deep...

Detection of Network Intrusion Signal in Deep Camouflage Based on Chaotic Synchronization

Abstract:

For detecting the network intrusion signal in deep camouflage precisely and effectively, a new detection method based chaotic synchronization is proposed in this paper. The Gaussian mixture model of the network data combined with expectation maximization algorithm is established firstly for the afterwards detection, the chaotic synchronization concept is proposed to detect the intrusion signals. According to the simulation result, the new method which this paper proposed shows good performance of detection the intrusion signals. The detection ROC is plotted for the chaotic synchronization detection method and traditional ARMA method, and it shows that the detection performance of the chaotic synchronization algorithm is much better than the traditional ARMA detection method. It shows good application prospect of the new method in the network intrusion signal detection.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

2695-2698

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.2695

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Online since:

August 2013

Authors:

Cai Tian Zhang, Yi Bo Zhang

Keywords:

Chaos, Chaotic Synchronization, Network Intrusion, Signal Detection

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References

[1] GU Jin-sheng, JIANG Ling-ge, HE Di. An Intrusion Detection Method Based on Chaotic Synchronization[J]. Journal of Shanghai JIAOTONG University, 2009, 43(12): 1874-1880.

Google Scholar

[2] Hu Guangbo, Zhou Yong. Study on Virtual Simulation for Ship Wake Based on Vega Prime[J]. Ship Electronic Engineering, 2010, 30(6): 91-94.

Google Scholar

[3] Zhang Yi, Zhou Bingying, Hu Guangbo. Hardware System Design of Underwater Motor Pump Faults Diagnose Detector[J]. Computer & Digital Engineering, 2012, 40(11): 162-166.

Google Scholar

[4] HU Guang-bo, LIANGHong, XUQian. Research on Chaotic Feature Extraction of Ship Radiated Noise[J]. Computer Simulation, 2011, 28(2): 22-24.

Google Scholar

[5] R. Gharieb. Higher order statistics based IIR notch filtering scheme for enhancing sinusoids in coloured noise[C]. IEEE Proceedings-Vision, Image and Signal Processing, 2000, 147(2): 115-121.

DOI: 10.1049/ip-vis:20000191

Google Scholar