IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network
Intrusion Detection on UNSW-NB15 Dataset

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IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset

30 March 2022

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Papers citing "IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset"

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Title
Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models A. Bensaoud Jugal Kalita 107 3 0 17 Feb 2025
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection Phai Vu Dinh Nguyen Quang Uy D. Hoang Diep N. Nguyen Son Pham Bao E. Dutkiewicz AAML 126 2 0 22 Mar 2024
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification Jinting Zhu Ju-Seong Jang Amardeep Singh I. Welch Harith Al-Sahaf S. Çamtepe AAML 43 66 0 01 Dec 2021
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection Hooman Alavizadeh Julian Jang Hootan Alavizadeh 69 138 0 27 Nov 2021
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 251 2,831 0 18 Nov 2015