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On the combination of data augmentation method and gated convolution model for building effective and robust intrusion detection

机译：关于数据增强方法和门控卷积模型的组合，用于建立有效且鲁棒入侵检测

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Yixiang Wang; Shaohua lv; Jiqiang Liu; Xiaolin Chang; Jinqiang Wang;
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1. On the combination of data augmentation method and gated convolution model for building effective and robust intrusion detection [J] . Wang Yixiang, lv Shaohua, Liu Jiqiang, Cybersecurity . 2020,第a期

机译：关于数据增强方法和门控卷积模型的组合，用于建立有效且鲁棒入侵检测
2. On the combination of data augmentation method and gated convolution model for building effective and robust intrusion detection [J] . Yixiang Wang, Shaohua lv, Jiqiang Liu, 网络空间安全科学与技术（英文版） . 2020,第004期

机译：关于数据增强方法和门控卷积模型的组合，用于建立有效且鲁棒入侵检测
3. An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset [J] . Zhang Hongpo, Huang Lulu, Wu Chase Q., Computer networks . 2020,第Auga4期

机译：基于SMABALACED DataSet入侵检测的基于Smote和高斯混合模型的有效卷积神经网络
4. Comparison of Combinations of Data Augmentation Methods and Transfer Learning Strategies in Image Classification Used in Convolution Deep Neural Networks [C] . Timofey A. Korzhebin, Alexey D. Egorov IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering . 2021

机译：卷积深神经网络中的图像分类中数据增强方法和转移学习策略的组合比较
5. Evaluation of Synthetic Training Data and Training-Data-Augmentation Techniques for Object Detection in Ground-Penetrating Radar Data using Deep-Learning Models [D] . Ruggiero, Jean. 2021

机译：使用深度学习模型评估用于地面穿透雷达数据的对象检测的综合训练数据和训练数据增强技术
6. Sequential Model Based Intrusion Detection System for IoT Servers Using Deep Learning Methods [O] . Ming Zhong, Yajin Zhou, Gang Chen 2021

机译：基于SEAT学习方法的IOT服务器的顺序模型入侵检测系统
7. Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms [O] . Jiadong Ren, Jiawei Guo, Wang Qian, 2019

机译：基于机器学习算法使用混合数据优化构建有效入侵检测系统

On the combination of data augmentation method and gated convolution model for building effective and robust intrusion detection

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