Identifying LDoS attack traffic based on wavelet energy spectrum and combined neural network
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资源说明:As a special type of denial of service (DoS) attacks, the TCP‐targeted low‐rate.denial of service (LDoS) attacks have the characteristics of low average rate.and strong concealment, so it is difficult to identify such attack traffic. As.multifractal characteristics exist in network traffic, a new identification.approach based on wavelet transform and combined neural network is.proposed to classify normal network traffic and LDoS attack traffic. Wavelet.energy spectrum coefficients extracted from
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