An Intrusion Detection System based on Deep Belief Networks

5 July 2022

Papers citing "An Intrusion Detection System based on Deep Belief Networks"

7 / 7 papers shown

Title
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things Saeid Jamshidi Amin Nikanjam Nafi Kawser Wazed Foutse Khomh 34 0 0 09 Apr 2025
A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection Raja Giryes Lior Shafir A. Wool 105 1 0 12 May 2024
Expectations Versus Reality: Evaluating Intrusion Detection Systems in Practice Jake Hesford Daniel Cheng Alan Wan Larry Huynh Seungho Kim Hyoungshick Kim Jin B. Hong 20 3 0 26 Mar 2024
A Lightweight Approach for Network Intrusion Detection based on Self-Knowledge Distillation Shuo Yang Xinran Zheng Zhengzhuo Xu Xingjun Wang 27 9 0 09 Jul 2023
Federated Deep Learning for Intrusion Detection in IoT Networks Othmane Belarbi Theodoros Spyridopoulos Eirini Anthi Ioannis Mavromatis P. Carnelli Aftab Khan OOD 31 12 0 05 Jun 2023
Creating an Explainable Intrusion Detection System Using Self Organizing Maps Jesse Ables Thomas Kirby William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale 35 13 0 15 Jul 2022
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,296 0 09 Jun 2011