火力与指挥控制2025，Vol.50Issue(4)：71-78,84,9.DOI:10.3969/j.issn.1002-0640.2025.04.010
基于CNN-BiLSTM的ICMPv6 DDoS攻击检测方法
ICMPv6 DDoS Attack Detection Based on CNN-BiLSTM Method
王春兰 1郭峰 1刘晋州 2王明华 3韩宝安4
作者信息
- 1. 西京学院,西安 710123
- 2. 成都职业技术学院,成都 610041
- 3. 空军工程大学空管领航学院,西安 710051
- 4. 四川交通职业技术学院,成都 611137
- 折叠
摘要
Abstract
Aiming at the problem of DDoS attack detection in ICMPv6 network,this paper proposes a detection algorithm based on CNN-BiLSTM network.By integrating attention mechanism,DropConnect and Dropout into the CNN-BiLSTM algorithm,overfitting problems generated during training are prevented and characteristic data of data is extracted more accurately.Experimental results show that the average detection accuracy rate,false negative rate and false 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 due to other algorithms.关键词
分布式拒绝服务攻击/攻击检测/ICMPv6/CNN/BiLSTMKey words
distributed denial of service attack/attack detection/ICMPv6/CNN/BiLSTM分类
数学引用本文复制引用
王春兰,郭峰,刘晋州,王明华,韩宝安..基于CNN-BiLSTM的ICMPv6 DDoS攻击检测方法[J].火力与指挥控制,2025,50(4):71-78,84,9.
