Enhanced detection of imbalanced malicious network traffic with regularized Generative Adversarial Networks

Utilising Flow Aggregation to Classify Benign Imitating Attacks

(2021) Hanan Hindy et al.   SENSORS

An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset

(2020) Hongpo Zhang et al.   Computer Networks

IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks

(2020) Shuokang Huang et al.   Ad Hoc Networks

Multi-level Gaussian mixture modeling for detection of malicious network traffic

(2020) Radhika Chapaneri et al.   JOURNAL OF SUPERCOMPUTING

GAN-based imbalanced data intrusion detection system

(2019) JooHwa Lee et al.   Personal and Ubiquitous Computing

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

(2018) Georgios Douzas et al.   INFORMATION SCIENCES

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

(2018) Iftikhar Ahmad et al.   IEEE Access

Using generative adversarial networks for improving classification effectiveness in credit card fraud detection

(2017) Ugo Fiore et al.   INFORMATION SCIENCES

A survey of intrusion detection techniques in Cloud

(2012) Chirag Modi et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS