An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks

20 August 2021

Papers citing "An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks"

7 / 7 papers shown

Title
Interoperability and Explicable AI-based Zero-Day Attacks Detection Process in Smart Community Mohammad Sayduzzaman Jarin Tasnim Tamanna Dipanjali Kundu Tawhidur Rahman 32 1 0 06 Aug 2024
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats Md. Ashraf Uddin Sunil Aryal Mohamed Reda Bouadjenek Muna Al-Hawawreh Md. Alamin Talukder 26 5 0 17 Mar 2024
VAEMax: Open-Set Intrusion Detection based on OpenMax and Variational Autoencoder Zhiyin Qiu Ding Zhou Yahui Zhai Bo Liu Lei He Jiuxin Cao DRL 35 2 0 07 Mar 2024
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 36 2 0 14 Dec 2023
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection Mahdi Soltani Khashayar Khajavi M. J. Siavoshani A. Jahangir 18 7 0 05 Mar 2023
Machine Learning Interpretability Meets TLS Fingerprinting Mahdi Jafari Siavoshani A. Khajehpour Amirmohammad Ziaei Bideh Amirali Gatmiri A. Taheri 21 2 0 12 Nov 2020
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data Abien Fred Agarap 20 214 0 10 Sep 2017