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Rajesh Kalakoti
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2020 – today
- 2025
- [c6]Rajesh Kalakoti, Risto Vaarandi, Hayretdin Bahsi, Sven Nõmm:
Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification. ICISSP (1) 2025: 47-58 - [c5]Muaan ur Rehman, Rajesh Kalakoti, Hayretdin Bahsi:
Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks. ICISSP (2) 2025: 248-259 - 2024
- [j2]Rajesh Kalakoti
, Hayretdin Bahsi
, Sven Nõmm
:
Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection. IEEE Internet Things J. 11(10): 18237-18254 (2024) - [c4]Rajesh Kalakoti
, Sven Nõmm, Hayretdin Bahsi:
Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework. AIIoT 2024: 265-272 - [c3]Rajesh Kalakoti
, Hayretdin Bahsi, Sven Nõmm:
Explainable Federated Learning for Botnet Detection in IoT Networks. CSR 2024: 1-8 - [c2]Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks. ICMLA 2024: 1164-1169 - 2023
- [c1]Rajesh Kalakoti
, Sven Nõmm, Hayretdin Bahsi:
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). ICMLA 2023: 595-601 - 2022
- [j1]Rajesh Kalakoti
, Sven Nõmm
, Hayretdin Bahsi
:
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks. IEEE Access 10: 94518-94535 (2022)
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last updated on 2025-04-11 18:34 CEST by the dblp team
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