Rajesh Kalakoti

14 papers C 3Misc 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape. ICISSP (1) Muaan ur Rehman, Hayretdin Bahsi, Rajesh Kalakoti
2026	J	`jnl`	Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape. CoRR Muaan ur Rehman, Hayretdin Bahsi, Rajesh Kalakoti
2026	J	`jnl`	Synthetic Data-Driven Explainability for Federated Learning-Based Intrusion Detection System. IEEE Internet Things J. Rajesh Kalakoti, Hayretdin Bahsi, Sven Nomm
2025	—	`conf`	Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks. ICISSP (2) Muaan ur Rehman, Rajesh Kalakoti, Hayretdin Bahsi
2025	—	`conf`	Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification. ICISSP (1) Rajesh Kalakoti, Risto Vaarandi, Hayretdin Bahsi, Sven Nõmm
2025	J	`jnl`	Evaluating explainable AI for deep learning-based network intrusion detection system alert classification. CoRR Rajesh Kalakoti, Risto Vaarandi, Hayretdin Bahsi, Sven Nõmm
2025	C	`conf`	Exploring the Impact of Feature Selection on Non-Stationary Intrusion Detection Models in IoT Networks. PST Muaan ur Rehman, Hayretdin Bahsi, Rajesh Kalakoti
2025	J	`jnl`	Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks. Comput. Networks Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2024	—	`conf`	Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework. AIIoT Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2024	Misc	`conf`	Explainable Federated Learning for Botnet Detection in IoT Networks. CSR Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm
2024	C	`conf`	Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks. ICMLA Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2024	J	`jnl`	Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection. IEEE Internet Things J. Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm
2023	C	`conf`	Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). ICMLA Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2022	J	`jnl`	In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks. IEEE Access Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi

2023 — conf

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

AISec

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz

2026 — preprint

CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.

arXiv

Matti Schulze, Thorsten Holz, Felix C. Freiling