Rajesh Kalakoti
Orcid: 0000-0001-7390-8034
According to our database1,
Rajesh Kalakoti authored at least 12 papers
between 2022 and 2026.
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Bibliography
2026
Synthetic Data-Driven Explainability for Federated Learning-Based Intrusion Detection System.
IEEE Internet Things J., 2026
Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape.
Proceedings of the 12th International Conference on Information Systems Security and Privacy, 2026
2025
Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks.
Comput. Networks, 2025
Exploring the Impact of Feature Selection on Non-Stationary Intrusion Detection Models in IoT Networks.
Proceedings of the 22nd Annual International Conference on Privacy, Security, and Trust, 2025
Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks.
Proceedings of the 11th International Conference on Information Systems Security and Privacy, 2025
Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification.
Proceedings of the 11th International Conference on Information Systems Security and Privacy, 2025
2024
Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection.
IEEE Internet Things J., May, 2024
Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks.
Proceedings of the International Conference on Machine Learning and Applications, 2024
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024
Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework.
Proceedings of the IEEE World AI IoT Congress, 2024
2023
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI).
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks.
IEEE Access, 2022