Attack Detection Method of ICMPv6 DDoS Based on CNN-BiLSTM
Aiming at the problem of DDoS attack detection in ICMPv6 network,a detection algorithm based on CNN-BiLSTM network is proposed.By adding the mixed use of attention mechanism,DropCon-nect and Dropout into the CNN-BiLSTM algorithm,the overfitting problems generated during training pro-cess are prevented and characteristic data of data is extracted more accurately.The experiments show that the average values of the detection accuracy rate,false alarm rate and missing alarm rate of the proposed algorithm are 92.84%,4.49%and 10.54%respectively in multiple experiments.The detection algorithm has strong generalization and can effectively handle the detection problem of ICMPv6 DDoS attack with its performance superior to other algorithms.
distributed denial of service attackattack detectionICMPv6CNNBiLSTM
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