Intrusion Detection System Combining Misuse and Anomaly Based on Neural Network Ensemble
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    Abstract:

    Traditional intrusion detection systems always have such problems as distortion and leakage. To solve these problems, this paper puts forward a new intrusion detection system which could combine misuse detection and anomaly detection. The system is based on neural network ensemble and it uses D-S evidence theory to combine the two intrusion detection technologies. The paper also expatiates on the main structure of the intrusion detection system and the composing module designation.

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陈晓,夏威,包文.基于集成神经网络的智能决策入侵检测系统.计算机系统应用,2010,19(5):113-115

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  • Received:September 09,2009
  • Revised:October 27,2009
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