研究论文
Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection
Hongwei Ding, Leiyang Chen, Liang Dong, Zhongwang Fu, Xiaohui Cui
Wuhan University
来源Future Generation Computer Systems
年份2022
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计算机 / AINetwork Security and Intrusion Detection
Internet Traffic Analysis and Secure E-voting · Anomaly Detection Techniques and Applications
参考文献 66
Types of minority class examples and their influence on learning classifiers from imbalanced data
被引 297Krystyna Napierała, Jerzy Stefanowski · Journal of Intelligent Information Systems · 2015
K-nearest neighbor
被引 2,420L. E. Peterson · Scholarpedia · 2009
A detailed analysis of the KDD CUP 99 data set
被引 4,969Mahbod Tavallaee, Ebrahim Bagheri, Wei Lu · 2009
此处列出前 3 条
引用本文 238
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
被引 507Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra · Expert Systems with Applications · 2023
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
被引 262Amit Kumar Balyan, Sachin Ahuja, Umesh Kumar Lilhore · Sensors · 2022
TMG-GAN: Generative Adversarial Networks-Based Imbalanced Learning for Network Intrusion Detection
被引 134Hongwei Ding, Yu Sun, Nana Huang · IEEE Transactions on Information Forensics and Security · 2023
按被引量排序，此处列出前 3 条