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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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journal article EST / journal article ENG

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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29

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

Related publications 11

30

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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

book article

Related publications 1

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

31

book article

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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Related publications 1

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

32

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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Related publications 1

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

33

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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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

journal article

Related publications 1

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

35

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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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

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Related publications 1

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

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book article

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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Related publications 1

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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book article

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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Related publications 1

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

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book article

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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Related publications 1

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

41

book article

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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Related publications 1

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

42

journal article EST / journal article ENG

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

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Related publications 1

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

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KronoDroid : time-based hybrid-featured dataset for effective android malware detection and characterizationGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, SvenComputers & Security2021 / art. 102399, 32 p https://doi.org/10.1016/j.cose.2021.102399 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

Related publications 1

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

44

journal article EST / journal article ENG

Learning from few cyber-attacks : addressing the class imbalance problem in machine learning-based intrusion detection in software-defined networkingMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Vaarandi, Risto; Inoubli, WissemIEEE Access2023 / p. 140428 - 140442 https://doi.org/10.1109/ACCESS.2023.3341755 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detectionGuerra Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinJournal of Computer Virology and Hacking Techniques2022 / 32 p. : ill https://doi.org/10.1007/s11416-022-00432-3 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

Related publications 1

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

46

dissertation

Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoksGuerra Manzanares, Alejandro2022 https://doi.org/10.23658/taltech.54/2022 https://digikogu.taltech.ee/et/Item/f56ae778-e5a5-4147-a8e4-4833e08fa789 https://www.ester.ee/record=b5511898*est

dissertation

Related publications 14

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A machine learning-based forensic tool for image classification - a design science approachDel Mar-Raave, Joanna Rose; Bahsi, Hayretdin; Mrsic, Leo; Hausknecht, KresimirForensic Science International : Digital Investigation2021 / art. 301265, 13 p https://doi.org/10.1016/j.fsidi.2021.301265 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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book article

Mapping cyber attacks on the internet of medical things : a taxonomic reviewKondeti, Venkatesh; Bahsi, Hayretdin2024 19th Annual System of Systems Engineering Conference (SoSE)2024 / p. 84 - 91 https://doi.org/10.1109/SOSE62659.2024.10620925 Article at Scopus Article at WOS

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book article

Mapping the information flows for the architecture of a nationwide situation awareness system : (Poster)Bahsi, Hayretdin; Dieves, Veiko; Kangilaski, Taivo; Laud, Peeter; Mõtus, Leo; Murumets, Jaan; Ploom, Illimar; Priisalu, Jaan; Seeba, Mari; Täks, Ermo; Tammel, Kaide; Tammpuu, Piia; Taveter, Kuldar; Trumm, Avo; Truusa, Tiia-Triin; Vihalemm, TriinProceedings 2019 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Las Vegas, NV, USA, 8-11 April 20192019 / p. 152–157 https://doi.org/10.1109/COGSIMA.2019.8724167

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journal article

Maritime cyber-insurance : The Norwegian case : [abstract]Franke, Ulrik; Langfeldt Friberg, Even; Bahsi, HayretdinInternational Journal of Critical Infrastructures2022 / p. 267–286 https://doi.org/10.1504/IJCIS.2022.10046729

journal article

Bahsi, Hayretdin (author)

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author 2

CV 2