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Enhancing privacy risk modeling in practice: a case study of an e-justice systemGakh, Valerii; Bahsi, Hayretdin; Hoffmann, Thomas; Boyarchuk, Artem; Khramov, OleksiiIEEE Access2024 / p. 183851-183874 https://doi.org/10.1109/ACCESS.2024.3509332 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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book article

Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert ClassificationKalakoti, Rajesh; Vaarandi, Risto; Bahsi, Hayretdin; Nõmm, SvenProceedings of the 11th International Conference on Information Systems Security and Privacy (ICISSP 2025). Vol. 12025 / p. 47-58 : ill https://doi.org//10.5220/0013180700003899

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

28

book article

Expert knowledge elicitation for skill level categorization of attack pathsMezešova, Terezia; Bahsi, Hayretdin2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)2019 / 8 p. : tab https://doi.org/10.1109/CyberSecPODS.2019.8885192

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Expert knowledge elicitation for skill level categorization of attack pathsMezešova, Terezia; Bahsi, HayretdinCyber science 2018 : conference programme2018 / p. 29 https://www.c-mric.com/wp-content/uploads/2018/04/20180611-Cyber-Science-2018-Event-Brochure-DRAFT-v0.6.pdf

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Experts still needed : boosting long-term android malware detection with active learningGuerra-Manzanares, Alejandro; Bahsi, HayretdinJournal of Computer Virology and Hacking Techniques2024 / p. 901 - 918 https://doi.org/10.1007/s11416-024-00536-y Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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31

dissertation

Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemidKalakoti, Rajesh2025 https://www.ester.ee/record=b5769273*est https://doi.org/10.23658/taltech.82/2025 https://digikogu.taltech.ee/et/Item/38fc238a-36e3-456c-9302-d0e702e9fc5a

dissertation

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32

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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

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

33

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Explainable transformer-based intrusion detection in Internet of Medical Things (IoMT) networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin2024 International Conference on Machine Learning and Applications, ICMLA 2024, Miami, Florida, 18-20 December 2024 : proceedings2024 / p. 1164-1169 : ill https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10903225 https://doi.org/10.1109/ICMLA61862.2024.00179 Article at Scopus Article at WOS

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

34

book article

Exploring the Impact of Feature Selection on Non-Stationary Intrusion Detection Models in IoT NetworksRehman, Muaan Ur; Bahsi, Hayretdin; Kalakoti, Rajesh2025 22nd Annual International Conference on Privacy, Security, and Trust (PST) : Fredericton, NB, Canada, 2025 : conference proceedings2025 / 10 p https://doi.org//10.1109/PST65910.2025.11268886

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

35

book article EST / book article ENG

Exploring trainees’ hehaviour in Hands-on cybersecurity exercises through ata miningRehman, Muaan ur; Bahsi, Hayretdin; Bukauskas, Linas; Knox, Benjamin JamesProceedings of the 23rd European Conference on Cyber Warfare and Security, ECCWS 2024, 27-28 June 2024, Finland2024 / p. 581-589 https://doi.org/10.34190/eccws.23.1.2141 Conference proceedings at Scopus Article at Scopus

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Extending cyber threat modeling with physical dependency analysis in DC microgridsAli, Saqib; Chub, Andrii; Bahsi, Hayretdin; Khalil, Shaymaa Mamdouh Mohammed Radwan2025 IEEE 66th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)2025 / 10 p. : ill https://doi.org/10.1109/RTUCON67996.2025.11414838

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journal article

Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, HayretdinComputer networks2025 / art. 111479, 23 p. : ill https://doi.org/10.1016/j.comnet.2025.111479

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

38

book article EST / book article ENG

Forensics analysis of an on-line game over Steam PlatformTabuyo-Benito, Raquel; Bahsi, Hayretdin; Peris-Lopez, PedroDigital Forensics and Cyber Crime : 10th International EAI Conference, ICDF2C 2018, New Orleans, LA, USA, September 10–12, 2018, Proceedings2019 / p. 106-127 https://doi.org/10.1007/978-3-030-05487-8_6 Conference proceeding at Scopus Article at Scopus

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39

journal article

Generative AI in Intrusion Detection Systems for Internet of Things: A Systematic Literature ReviewDeng, Zhe; Torim, Ants; Ben Yahia, Sadok; Bahsi, HayretdinIEEE Open Journal of the Communications Society2025 / p. 4689-4717 https://doi.org//10.1109/OJCOMS.2025.3573194

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journal article

Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking StudyTamberg, Karl; Bahsi, HayretdinIEEE Access2025 / p. 29698-29717 : ill https://doi.org/10.1109/ACCESS.2025.3541146

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41

book article

Holistic cyber threat modeling for machine learning-based systems: a case study in healthcareJaal, Janno; Bahsi, HayretdinProceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2025). Volume 2: HEALTHINF2025 / p. 319-329 https://doi.org/10.5220/0013372300003911

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Hybrid cybersecurity research and education environment for maritime sectorVisky, Gabor; Šiganov, Aleksei; Rehman, Muaan Ur; Vaarandi, Risto; Bahsi, Hayretdin; Tsiopoulos, Leonidas2024 IEEE International Conference on Cyber Security and Resilience (CSR) : proceedings2024 / p. 644-651 https://doi.org/10.1109/CSR61664.2024.10679392 Article at Scopus Article at WOS

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Cybersecurity for maritime operational technology: challenges, considerations, and solutions = Merendustehnoloogia küberturvalisus: väljakutsed, kaalutlused ja lahendused

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Hybrid feature selection models for machine learning based botnet detection in IoT networksGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, Sven2019 International Conference on Cyberworlds : CW 2019 : 2-4 October 2019, Kyoto, Japan : proceedings2019 / p. 324-327 : ill https://doi.org/10.1109/CW.2019.00059

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Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks

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Impact assessment of cyber actions on missions or business processes : a systematic literature reviewBahsi, Hayretdin; Udokwu, Chibuzor; Tatar, Unal; Norta, AlexanderProceedings of the 13th International Conference on Cyber Warfare and Security, ICCWS 2018 : National Defence University, Washington DC, USA, 6-9 March 20182018 / p. 11-20 : ill http://toc.proceedings.com/38822webtoc.pdf

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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

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

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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

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

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In-depth feature selection and ranking for automated detection of mobile malwareGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, HayretdinProceedings of the 5th International Conference on Information Systems Security and Privacy : ICISSP 2019 : February 23-25, 2019, Prague, Czech Republic. Vol. 12019 / p. 274-283 : ill https://doi.org/10.5220/0007349602740283

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