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Bahsi, Hayretdin (author)
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51
journal article EST
/
journal article ENG
Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detection
Guerra Manzanares, Alejandro
;
Luckner, Marcin
;
Bahsi, Hayretdin
Journal of Computer Virology and Hacking Techniques
2022
/
32 p. : ill
https://doi.org/10.1007/s11416-022-00432-3
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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
52
book article EST
/
book article ENG
Lightweight machine learning-based intrusion detection under class imbalance in smart grids
Saleh, Eman Salem Saadallah
;
Bahsi, Hayretdin
;
Chub, Andrii
2025 IEEE 66th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
2025
/
6 p
https://doi.org/10.1109/RTUCON67996.2025.11415103
book article EST
/
book article ENG
53
journal article
Literature review: Cyber security monitoring in maritime
Vaarandi, Risto
;
Tsiopoulos, Leonidas
;
Visky, Gabor
;
Ur Rehman, Muaan
;
Bahsi, Hayretdin
arXiv.org
2025
/
22 p. : ill
https://doi.org/10.48550/arXiv.2503.18173
journal article
54
dissertation
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
Guerra Manzanares, Alejandro
2022
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
Hybrid feature selection models for machine learning based botnet detection in IoT networks
In-depth feature selection and ranking for automated detection of mobile malware
Time-frame analysis of system calls behavior in machine learning-based mobile malware detection
Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detection
MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT network
KronoDroid : time-based hybrid-featured dataset for effective android malware detection and characterization
Android malware concept drift using system calls : detection, characterization and challenges
Concept drift and cross-device behavior : challenges and implications for effective android malware detection
Cross-device behavioral consistency : benchmarking and implications for effective android malware detection
Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detection
On the relativity of time : implications and challenges of data drift on long-term effective android malware detection
Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
On the application of active learning for efficient and effective Iot botnet detection
On the application of active learning to handle data evolution in Android malware detection
55
journal article EST
/
journal article ENG
A machine learning-based forensic tool for image classification - a design science approach
Del Mar-Raave, Joanna Rose
;
Bahsi, Hayretdin
;
Mrsic, Leo
;
Hausknecht, Kresimir
Forensic Science International : Digital Investigation
2021
/
art. 301265, 13 p
https://doi.org/10.1016/j.fsidi.2021.301265
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journal article EST
/
journal article ENG
56
book article
Mapping cyber attacks on the internet of medical things : a taxonomic review
Kondeti, Venkatesh
;
Bahsi, Hayretdin
2024 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
book article
57
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, Triin
Proceedings 2019 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Las Vegas, NV, USA, 8-11 April 2019
2019
/
p. 152–157
https://doi.org/10.1109/COGSIMA.2019.8724167
book article
58
journal article
Maritime cyber-insurance : The Norwegian case : [abstract]
Franke, Ulrik
;
Langfeldt Friberg, Even
;
Bahsi, Hayretdin
International Journal of Critical Infrastructures
2022
/
p. 267–286
https://doi.org/10.1504/IJCIS.2022.10046729
journal article
59
journal article EST
/
journal article ENG
Maritime cyber-insurance: the Norwegian case
Franke, Ulrik
;
Friberg, Even Langfeldt
;
Bahsi, Hayretdin
International Journal of Critical Infrastructures
2022
/
p. 267-286
https://doi.org/10.1504/ijcis.2022.125816
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Article at WOS
journal article EST
/
journal article ENG
60
book article
MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT network
Guerra Manzanares, Alejandro
;
Medina-Galindo, Jorge
;
Bahsi, Hayretdin
;
Nõmm, Sven
Proceedings of the 6th International Conference on Information Systems Security and Privacy, ICISSP : February 25-27, 2020, La Valletta, Malta. Vol. 1
2020
/
p. 207-218 : ill
https://doi.org/10.5220/0009187802070218
book article
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
61
book article EST
/
book article ENG
Model-based analysis of secure and patient-dependent pacemaker monitoring system
Tsiopoulos, Leonidas
;
Kuusik, Alar
;
Vain, Jüri
;
Bahsi, Hayretdin
Body Area Networks. Smart IoT and Big Data for Intelligent Health : 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020 : proceedings
2020
/
p. 77-91
https://doi.org/10.1007/978-3-030-64991-3_6
Journal metrics at scopus
Article at Scopus
book article EST
/
book article ENG
62
journal article EST
/
journal article ENG
On the application of active learning for efficient and effective Iot botnet detection
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
Future Generation Computer Systems
2023
/
p. 40-53 : ill
https://doi.org/10.1016/j.future.2022.10.024
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journal article EST
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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
63
book article
On the application of active learning to handle data evolution in Android malware detection
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
Digital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings
2023
/
p. 256-273
https://doi.org/10.1007/978-3-031-36574-4_15
book article
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
64
journal article EST
/
journal article ENG
On the relativity of time : implications and challenges of data drift on long-term effective android malware detection
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
Computers & Security
2022
/
art. 102835, 15 p. : ill
https://doi.org/10.1016/j.cose.2022.102835
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journal article EST
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journal article ENG
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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
65
book article EST
/
book article ENG
An ontology engineering case study for advanced digital forensic analysis
Chikul, Pavel
;
Bahsi, Hayretdin
;
Maennel, Olaf Manuel
Model and Data Engineering : 10th International Conference, MEDI 2021, Tallinn, Estonia, June 21–23, 2021 : proceedings
2021
/
p. 67–74
https://doi.org/10.1007/978-3-030-78428-7_6
Conference Proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
66
book article
Preliminary analysis of cyberterrorism threats to internet of things (IoT) applications
Balogun, Taofeek Mobolarinwa
;
Bahsi, Hayretdin
;
Karabacak, Bilge
Terrorists' use of the Internet
2017
/
p. 49-58
http://doi.org/10.3233/978-1-61499-765-8-49
book article
67
book article
Preliminary analysis of cyberterrorism threats to internet of things (IoT) applications [Online resource]
Bahsi, Hayretdin
Advanced Research Workshop supported by the NATO Science for Peace and Security Programme, Terrorists’ Use of the Internet : assessment and response
2016
/
p. 8
http://www.cyberterrorism-project.org/wp-content/uploads/2016/11/Terrorists%E2%80%99-Use-of-the-Internet-Assessment-and-Response.pdf
book article
68
journal article EST
/
journal article ENG
Process-aware security monitoring in industrial control systems: A systematic review and future directions
Rehman, Muaan Ur
;
Bahsi, Hayretdin
International journal of critical infrastructure protection
2024
/
art. 100719, 19 p. : ill
https://doi.org/10.1016/j.ijcip.2024.100719
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Article at WOS
journal article EST
/
journal article ENG
69
journal article
Synthetic Data-Driven Explainability for Federated Learning-based Intrusion Detection System
Kalakoti, Rajesh
;
Bahsi, Hayretdin
;
Nõmm, Sven
IEEE Internet of Things Journal
2025
/
28 p. : ill
https://doi.org//10.1109/JIOT.2025.3633946
journal article
Related publications
1
Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid
70
journal article
Systematic Cyber Threat Modeling for Maritime Operations: Attack Trees for Shipboard Systems
Keskin, Omer F.
;
Lubja, Karl
;
Bahsi, Hayretdin
;
Tatar, Unal
Journal of marine science and engineering
2025
/
art. 645, 31 p. : ill
https://doi.org/10.3390/jmse13040645
journal article
71
journal article EST
/
journal article ENG
A systematic literature review of cyber security monitoring in maritime
Vaarandi, Risto
;
Tsiopoulos, Leonidas
;
Visky, Gabor
;
Rehman, Muaan Ur
;
Bahsi, Hayretdin
IEEE Access
2025
/
p. 85307-85329
https://doi.org/10.1109/ACCESS.2025.3567385
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journal article EST
/
journal article ENG
Related publications
1
Cybersecurity for maritime operational technology: challenges, considerations, and solutions = Merendustehnoloogia küberturvalisus: väljakutsed, kaalutlused ja lahendused
72
book article
The invisible front : a cyber resilience perspective
Bahsi, Hayretdin
The geopolitics of power grids : political and security aspects of Baltic electricity synchronization : March 2018
2018
/
p. 53–68 : ill
https://www.ester.ee/record=b5053315*est
book article
73
journal article EST
/
journal article ENG
Threat modeling of cyber-physical systems - a case study of a microgrid system
Khalil, Shaymaa Mamdouh
;
Bahsi, Hayretdin
;
Dola, Henry Ochieng
;
Korõtko, Tarmo
;
McLaughlin, Kieran
;
Kotkas, Vahur
Computers & Security
2023
/
art. 102950, 16 p. : ill
https://doi.org/10.1016/j.cose.2022.102950
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Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
74
journal article EST
/
journal article ENG
Threat modeling of industrial control systems: A systematic literature review
Khalil, Shaymaa Mamdouh
;
Bahsi, Hayretdin
;
Korõtko, Tarmo
Computers and security
2024
/
art. 103543, 19 p. : ill
https://doi.org/10.1016/j.cose.2023.103543
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Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
75
book article
Time-frame analysis of system calls behavior in machine learning-based mobile malware detection
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
2019 International Conference on Cyber Security for Emerging Technologies : CSET 2019, Doha, Qatar, 27 October 2019 through 29 October 2019
2019
/
art. 89049088 ; 8 p. : ill
https://doi.org/10.1109/CSET.2019.8904908
book article
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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