Artificial Intelligence Detection Method for Network Intrusion
With the rapid development of the Internet,the problem of network security has become increasingly prominent.Therefore,this paper proposes a network intrusion detection method based on wavelet transform and Long Short-Term Memory(LSTM).The problem of network intrusion detection is analyzed,and the functional framework of intrusion detection system based on artificial intelligence is proposed.Wavelet transform technology is used to extract the time series characteristics of network traffic,and it is used as the input of LSTM to realize the identification and detection of network intrusion behavior.The experimental results on NSL-KDD data set show that this method has high accuracy,recall and precision,which highlights its effectiveness and feasibility in the field of network security.
NETL
NSTL
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