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ORCIDHayretdin Bahsi
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2020 – today
- 2024
[j21]Shaymaa Mamdouh Khalil
, Hayretdin Bahsi, Tarmo Korõtko:
Threat modeling of industrial control systems: A systematic literature review. Comput. Secur. 136: 103543 (2024)- [j20]Muaan ur Rehman, Hayretdin Bahsi:
Process-aware security monitoring in industrial control systems: A systematic review and future directions. Int. J. Crit. Infrastructure Prot. 47: 100719 (2024) - [j19]Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm:
Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection. IEEE Internet Things J. 11(10): 18237-18254 (2024) - [j18]Alejandro Guerra-Manzanares, Hayretdin Bahsi:
Experts still needed: boosting long-term android malware detection with active learning. J. Comput. Virol. Hacking Tech. 20(4): 901-918 (2024) - [c29]Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework. AIIoT 2024: 265-272 - [c28]Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm:
Explainable Federated Learning for Botnet Detection in IoT Networks. CSR 2024: 1-8 - [c27]Zhe Deng, Arthur Hubert, Sadok Ben Yahia, Hayretdin Bahsi:
Active Learning-Based Mobile Malware Detection Utilizing Auto-Labeling and Data Drift Detection. CSR 2024: 146-151 - [c26]Gabor Visky, Aleksei Siganov, Muaan ur Rehman, Risto Vaarandi, Hayretdin Bahsi, Leonidas Tsiopoulos:
Hybrid Cybersecurity Research and Education Environment for Maritime Sector. CSR 2024: 644-651 - [c25]Pavel Chikul, Hayretdin Bahsi, Olaf Maennel:
The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis. ICISSP 2024: 570-581 - [i2]Karl Tamberg, Hayretdin Bahsi:
Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study. CoRR abs/2405.15614 (2024) - [i1]Risto Vaarandi, Hayretdin Bahsi:
Using Large Language Models for Template Detection from Security Event Logs. CoRR abs/2409.05045 (2024) - 2023
- [j17]Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Risto Vaarandi, Wissem Inoubli:
Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking. IEEE Access 11: 140428-140442 (2023) - [j16]Shaymaa Mamdouh Khalil, Hayretdin Bahsi, Henry Ochieng' Dola, Tarmo Korõtko, Kieran McLaughlin, Vahur Kotkas:
Threat Modeling of Cyber-Physical Systems - A Case Study of a Microgrid System. Comput. Secur. 124: 102950 (2023) - [j15]Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi:
Corrigendum to Concept drift and cross-device behavior: Challenges and implications for effective android malware detection Computers & Security, Volume 120, 102757. Comput. Secur. 124: 102998 (2023) - [j14]Alejandro Guerra-Manzanares, Hayretdin Bahsi:
On the application of active learning for efficient and effective IoT botnet detection. Future Gener. Comput. Syst. 141: 40-53 (2023) - [j13]Taofeek Mobolarinwa Balogun, Hayretdin Bahsi, Omer F. Keskin, Unal Tatar:
A comparative framework for cyber threat modelling: case of healthcare and industrial control systems. Int. J. Crit. Infrastructures 19(5): 405-431 (2023) - [j12]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Marcin Luckner:
Leveraging the first line of defense: a study on the evolution and usage of android security permissions for enhanced android malware detection. J. Comput. Virol. Hacking Tech. 19(1): 65-96 (2023) - [c24]Mohammad Reza Heidari Iman, Pavel Chikul, Gert Jervan, Hayretdin Bahsi, Tara Ghasempouri:
Anomalous File System Activity Detection Through Temporal Association Rule Mining. ICISSP 2023: 733-740 - [c23]Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). ICMLA 2023: 595-601 - 2022
- [j11]Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks. IEEE Access 10: 94518-94535 (2022) - [j10]Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi:
Concept drift and cross-device behavior: Challenges and implications for effective android malware detection. Comput. Secur. 120: 102757 (2022) - [j9]Alejandro Guerra-Manzanares, Hayretdin Bahsi:
On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection. Comput. Secur. 122: 102835 (2022) - [j8]Faisal Sumaila, Hayretdin Bahsi:
Digital forensic analysis of mobile automotive maintenance applications. Digit. Investig. 43(Supplement): 301440 (2022) - [j7]Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi:
Android malware concept drift using system calls: Detection, characterization and challenges. Expert Syst. Appl. 206: 117200 (2022) - [j6]Ulrik Franke, Even Langfeldt Friberg, Hayretdin Bahsi:
Maritime cyber-insurance: the Norwegian case. Int. J. Crit. Infrastructures 18(3): 267-286 (2022) - [c22]Alejandro Guerra-Manzanares, Hayretdin Bahsi:
On the Application of Active Learning to Handle Data Evolution in Android Malware Detection. ICDF2C 2022: 256-273 - [c21]Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Wissem Inbouli:
Deep Learning-Based Detection of Cyberattacks in Software-Defined Networks. ICDF2C 2022: 341-354 - [c20]Hayretdin Bahsi, Henry Ochieng' Dola, Shaymaa Mamdouh Khalil, Tarmo Korõtko:
A Cyber Attack Taxonomy for Microgrid Systems. SoSE 2022: 324-331 - 2021
- [j5]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization. Comput. Secur. 110: 102399 (2021) - [j4]Joanna Rose Del Mar-Raave, Hayretdin Bahsi, Leo Mrsic, Kresimir Hausknecht:
A machine learning-based forensic tool for image classification - A design science approach. Digit. Investig. 38: 301265 (2021) - [c19]Pavel Chikul, Hayretdin Bahsi, Olaf Maennel:
An Ontology Engineering Case Study for Advanced Digital Forensic Analysis. MEDI 2021: 67-74 - 2020
- [j3]Hayretdin Bahsi, Ulrik Franke, Even Langfeldt Friberg:
The cyber-insurance market in Norway. Inf. Comput. Secur. 28(1): 54-67 (2020) - [c18]Leonidas Tsiopoulos, Alar Kuusik, Jüri Vain, Hayretdin Bahsi:
Model-Based Analysis of Secure and Patient-Dependent Pacemaker Monitoring System. BODYNETS 2020: 77-91 - [c17]Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm:
MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network. ICISSP 2020: 207-218 - [c16]Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm:
Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems. ICISSP (Revised Selected Papers) 2020: 222-243
2010 – 2019
- 2019
- [c15]Hayretdin Bahsi, Veiko Dieves, Taivo Kangilaski, Peeter Laud, Leo Motus, Jaan Murumets, Illimar Ploom, Jaan Priisalu, Mari Seeba, Ermo Täks, Kaide Tammel, Piia Tammpuu, Kuldar Taveter, Avo Trumm, Tiia-Triin Truusa, Triin Vihalemm:
Mapping the Information Flows for the Architecture of a Nationwide Situation Awareness System : (Poster). CogSIMA 2019: 152-157 - [c14]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks. CW 2019: 324-327 - [c13]Terézia Mézesová, Hayretdin Bahsi:
Expert Knowledge Elicitation for Skill Level Categorization of Attack Paths. Cyber Security 2019: 1-8 - [c12]Alejandro Guerra-Manzanares, Sven Nõmm, Hayretdin Bahsi:
In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. ICISSP 2019: 274-283 - [c11]Sven Nomm, Alejandro Guerra-Manzanares, Hayretdin Bahsi:
Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection. ICMLA 2019: 1162-1169 - [c10]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective. IoTSMS 2019: 399-404 - 2018
- [c9]Hayretdin Bahsi, Sven Nomm, Fabio Benedetto La Torre:
Dimensionality Reduction for Machine Learning Based IoT Botnet Detection. ICARCV 2018: 1857-1862 - [c8]Raquel Tabuyo-Benito, Hayretdin Bahsi, Pedro Peris-Lopez:
Forensics Analysis of an On-line Game over Steam Platform. ICDF2C 2018: 106-127 - [c7]Sven Nomm, Hayretdin Bahsi:
Unsupervised Anomaly Based Botnet Detection in IoT Networks. ICMLA 2018: 1048-1053 - 2016
- [c6]Unal Tatar, Hayretdin Bahsi, Adrian V. Gheorghe:
Impact assessment of cyber attacks: A quantification study on power generation systems. SoSE 2016: 1-6 - 2015
- [c5]Hayretdin Bahsi, Olaf Manuel Maennel:
A Conceptual Nationwide Cyber Situational Awareness Framework for Critical Infrastructures. NordSec 2015: 3-10 - 2013
- [j2]Erdem Alparslan, Adem Karahoca, Hayretdin Bahsi:
Security-level classification for confidential documents by using adaptive neuro-fuzzy inference systems. Expert Syst. J. Knowl. Eng. 30(3): 233-242 (2013) - 2011
- [c4]Hayretdin Bahsi, Albert Levi:
Preserving organizational privacy in intrusion detection log sharing. CyCon 2011: 1-14 - [c3]Erdem Alparslan, Adem Karahoca, Hayretdin Bahsi:
Classification of confidential documents by using adaptive neurofuzzy inference systems. WCIT 2011: 1412-1417 - 2010
- [b1]Hayretdin Bahsi:
Privacy preserving data collection framework for user centric network applications (Günümüz kullanıcı eksenli ağ uygulamaları için kişisel gizliliği sağlayan bilgi toplama anaçatısı). Sabancı University, Turkey, 2010 - [j1]Hayretdin Bahsi, Albert Levi:
Data Collection Framework for Energy Efficient Privacy Preservation in Wireless Sensor Networks Having Many-to-Many Structures. Sensors 10(9): 8375-8397 (2010)
2000 – 2009
- 2009
- [c2]Hayretdin Bahsi, Albert Levi:
Energy Efficient Privacy Preserved Data Gathering in Wireless Sensor Networks Having Multiple Sinks. CSA 2009: 1-8 - [c1]Erdem Alparslan, Hayretdin Bahsi:
Security Level Classification of Confidential Documents Written in Turkish. UCMedia 2009: 329-334
Coauthor Index
aka: Sven Nõmm
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last updated on 2024-11-18 20:46 CET by the dblp team
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