Enhancing IoT botnet attack detection in SOCs with an explainable active learning frameworkKalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin2024 IEEE World AI IoT Congress (AIIoT)2024 / p. 265 - 272 https://doi.org/10.1109/AIIoT61789.2024.10578957 Article at Scopus Article at WOS

Explainable federated learning for Botnet Detection in IoT networksKalakoti, Rajesh; Bahsi, Hayretdin; Nõmm, SvenProceedings of the 2024 IEEE International Conference on Cyber Security and Resilience (CSR), September 2-4, 2024, London, UK2024 / p. 22-29 https://doi.org/10.1109/CSR61664.2024.10679348 Article at Scopus Article at WOS

Improving IoT security with explainable AI : quantitative evaluation of explainability for IoT botnet detectionKalakoti, Rajesh; Bahsi, Hayretdin; Nõmm, SvenIEEE Internet of Things Journal2024 / p. 18237 - 18254 https://doi.org/10.1109/JIOT.2024.3360626 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)Kalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)2023 / p. 595 - 601 https://doi.org/10.1109/ICMLA58977.2023.00088

In-depth feature selection for the statistical machine learning-based botnet detection in IoT networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, HayretdinIEEE Access2022 / p. 94518-94535 https://doi.org/10.1109/ACCESS.2022.3204001 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS