Adversarial Training for Deep Learning-based Intrusion Detection Systems
Authors: Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees | Published: 2021-04-20
MLベースのIDS
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network
Authors: Emrah Tufan, Cihangir Tezcan, Cengiz Acartürk | Published: 2021-03-31
Exploring Edge TPU for Network Intrusion Detection in IoT
Authors: Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann | Published: 2021-03-30
A flow-based IDS using Machine Learning in eBPF
Authors: Maximilian Bachl, Joachim Fabini, Tanja Zseby | Published: 2021-02-19 | Updated: 2022-03-04
Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach
Authors: MohammadNoor Injadat, Abdallah Moubayed, Abdallah Shami | Published: 2020-12-16
Towards a Universal Features Set for IoT Botnet Attacks Detection
Authors: Faisal Hussain, Syed Ghazanfar Abbas, Ubaid U. Fayyaz, Ghalib A. Shah, Abdullah Toqeer, Ahmad Ali | Published: 2020-12-01
SparseIDS: Learning Packet Sampling with Reinforcement Learning
Authors: Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby | Published: 2020-02-10 | Updated: 2020-05-04
Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests
Authors: Simon D. Duque Anton, Sapna Sinha, Hans Dieter Schotten | Published: 2019-07-24
CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection
Authors: Ayush Hariharan, Ankit Gupta, Trisha Pal | Published: 2019-07-23
Network Attacks Anomaly Detection Using SNMP MIB Interface Parameters
Authors: Ghazi Al-Naymatm, Ahmed Hambouz, Mouhammd Alkasassbeh | Published: 2019-05-14 | Updated: 2019-10-19