Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications

4 October 2020

Papers citing "Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications"

6 / 6 papers shown

Title
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study Hamdi Friji Ioannis Mavromatis Adrián Sánchez-Mompó P. Carnelli Alexis Olivereau Aftab Khan 11 1 0 28 Apr 2024
Meta-Analysis and Systematic Review for Anomaly Network Intrusion Detection Systems: Detection Methods, Dataset, Validation Methodology, and Challenges Z. K. Maseer R. Yusof Baidaa Al-Bander Abdulgbar Saif Qusay Kanaan Kadhim 14 14 0 05 Aug 2023
Few-shot Weakly-supervised Cybersecurity Anomaly Detection Rahul Kale V. Thing 24 9 0 15 Apr 2023
Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning George Stamatelis N. Kalouptsidis 24 2 0 19 Mar 2023
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection Rahul Kale Zhi Lu K. Fok V. Thing 27 20 0 02 Dec 2022
A Deep Learning-based Penetration Testing Framework for Vulnerability Identification in Internet of Things Environments Nickolaos Koroniotis Nour Moustafa B. Turnbull F. Schiliro Praveen Gauravaram Helge Janicke 20 10 0 20 Sep 2021