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Bahsi, Hayretdin (author)
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26
book article
Impact assessment of cyber actions on missions or business processes : a systematic literature review
Bahsi, Hayretdin
;
Udokwu, Chibuzor
;
Tatar, Unal
;
Norta, Alexander
Proceedings of the 13th International Conference on Cyber Warfare and Security, ICCWS 2018 : National Defence University, Washington DC, USA, 6-9 March 2018
2018
/
p. 11-20 : ill
http://toc.proceedings.com/38822webtoc.pdf
book article
27
book article
In-depth feature selection and ranking for automated detection of mobile malware
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
Proceedings of the 5th International Conference on Information Systems Security and Privacy : ICISSP 2019 : February 23-25, 2019, Prague, Czech Republic. Vol. 1
2019
/
p. 274-283 : ill
https://doi.org/10.5220/0007349602740283
book article
Seotud publikatsioonid
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
28
journal article EST
/
journal article ENG
In-depth feature selection for the statistical machine learning-based botnet detection in IoT networks
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
IEEE Access
2022
/
p. 94518-94535
https://doi.org/10.1109/ACCESS.2022.3204001
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
29
journal article EST
/
journal article ENG
KronoDroid : time-based hybrid-featured dataset for effective android malware detection and characterization
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
;
Nõmm, Sven
Computers & Security
2021
/
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
Seotud publikatsioonid
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
30
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 networking
Mirsadeghi, Seyed Mohammad Hadi
;
Bahsi, Hayretdin
;
Vaarandi, Risto
;
Inoubli, Wissem
IEEE Access
2023
/
p. 140428 - 140442
https://doi.org/10.1109/ACCESS.2023.3341755
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
31
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
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
32
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
Seotud publikatsioonid
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
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
MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT network
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
33
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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Article at WOS
journal article EST
/
journal article ENG
34
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
35
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
36
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
Seotud publikatsioonid
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
37
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
38
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
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
39
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
Seotud publikatsioonid
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
40
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Seotud publikatsioonid
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
41
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
42
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
43
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
44
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
45
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
46
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
Seotud publikatsioonid
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
47
book article
Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detection
Guerra Manzanares, Alejandro
;
Nõmm, Sven
;
Bahsi, Hayretdin
18th IEEE International Conference on Machine Learning and Applications : ICMLA 2019, 16–19 December 2019, Boca Raton, Florida, USA : proceedings
2019
/
p. 1162-1169 : ill
https://doi.org/10.1109/ICMLA.2019.00193
book article
Seotud publikatsioonid
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
48
book article
Unsupervised anomaly based botnet detection in IoT networks
Nõmm, Sven
;
Bahsi, Hayretdin
17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings
2018
/
p. 1048-1053
https://doi.org/10.1109/ICMLA.2018.00171
book article
49
book article EST
/
book article ENG
Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systems
Guerra Manzanares, Alejandro
;
Medina-Galindo, Jorge
;
Bahsi, Hayretdin
;
Nõmm, Sven
Information Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers
2022
/
p. 222–243
https://doi.org/10.1007/978-3-030-94900-6_11
Conference proceedings at Scopus
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Article at WOS
book article EST
/
book article ENG
Seotud publikatsioonid
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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