Energy Efficient Privacy Preserved Data Gathering in Wireless Sensor Networks Having Multiple Sinks. - Hayretdin Bahsi; Albert Levi (CSA, 2009)

Security Level Classification of Confidential Documents Written in Turkish. - Erdem Alparslan; Hayretdin Bahsi (UCMedia, 2009)

Data Collection Framework for Energy Efficient Privacy Preservation in Wireless Sensor Networks Having Many-to-Many Structures. - Hayretdin Bahsi; Albert Levi (Sensors, 2010)

Privacy preserving data collection framework for user centric network applications (Günümüz kullanıcı eksenli ağ uygulamaları için kişisel gizliliği sağlayan bilgi toplama anaçatısı) - Hayretdin Bahsi (2010)

Preserving organizational privacy in intrusion detection log sharing. - Hayretdin Bahsi; Albert Levi (CyCon, 2011)

Classification of confidential documents by using adaptive neurofuzzy inference systems. - Erdem Alparslan; Adem Karahoca; Hayretdin Bahsi (WCIT, 2011)

Security-level classification for confidential documents by using adaptive neuro-fuzzy inference systems. - Erdem Alparslan; Adem Karahoca; Hayretdin Bahsi (Expert Syst. J. Knowl. Eng., 2013)

A Conceptual Nationwide Cyber Situational Awareness Framework for Critical Infrastructures. - Hayretdin Bahsi; Olaf Manuel Maennel (NordSec, 2015)

Impact assessment of cyber attacks: A quantification study on power generation systems. - Unal Tatar; Hayretdin Bahsi; Adrian V. Gheorghe (SoSE, 2016)

Dimensionality Reduction for Machine Learning Based IoT Botnet Detection. - Hayretdin Bahsi; Sven Nomm; Fabio Benedetto La Torre (ICARCV, 2018)

Forensics Analysis of an On-line Game over Steam Platform. - Raquel Tabuyo-Benito; Hayretdin Bahsi; Pedro Peris-Lopez (ICDF2C, 2018)

Unsupervised Anomaly Based Botnet Detection in IoT Networks. - Sven Nomm; Hayretdin Bahsi (ICMLA, 2018)

Mapping the Information Flows for the Architecture of a Nationwide Situation Awareness System : (Poster). - Hayretdin Bahsi; Veiko Dieves; Taivo Kangilaski; Peeter Laud; Leo Motus; Jaan Murumets; Illimar Ploom; Jaan Priisalu; Mari Seeba; Ermo Täks; Kaide Tammel; Piia Tammpuu; et al. (CogSIMA, 2019)

Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks. - Alejandro Guerra-Manzanares; Hayretdin Bahsi; Sven Nõmm (CW, 2019)

Expert Knowledge Elicitation for Skill Level Categorization of Attack Paths. - Terézia Mézesová; Hayretdin Bahsi (Cyber Security, 2019)

In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. - Alejandro Guerra-Manzanares; Sven Nõmm; Hayretdin Bahsi (ICISSP, 2019)

Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection. - Sven Nomm; Alejandro Guerra-Manzanares; Hayretdin Bahsi (ICMLA, 2019)

Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective. - Alejandro Guerra-Manzanares; Hayretdin Bahsi; Sven Nõmm (IoTSMS, 2019)

Model-Based Analysis of Secure and Patient-Dependent Pacemaker Monitoring System. - Leonidas Tsiopoulos; Alar Kuusik; Jüri Vain; Hayretdin Bahsi (BODYNETS, 2020)

MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network. - Alejandro Guerra-Manzanares; Jorge Medina-Galindo; Hayretdin Bahsi; Sven Nõmm (ICISSP, 2020)

Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems. - Alejandro Guerra-Manzanares; Jorge Medina-Galindo; Hayretdin Bahsi; Sven Nõmm (ICISSP (Revised Selected Papers), 2020)

The cyber-insurance market in Norway. - Hayretdin Bahsi; Ulrik Franke; Even Langfeldt Friberg (Inf. Comput. Secur., 2020)

An Ontology Engineering Case Study for Advanced Digital Forensic Analysis. - Pavel Chikul; Hayretdin Bahsi; Olaf Maennel (MEDI, 2021)

KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization. - Alejandro Guerra-Manzanares; Hayretdin Bahsi; Sven Nõmm (Comput. Secur., 2021)

A machine learning-based forensic tool for image classification - A design science approach. - Joanna Rose Del Mar-Raave; Hayretdin Bahsi; Leo Mrsic; Kresimir Hausknecht (Digit. Investig., 2021)

On the Application of Active Learning to Handle Data Evolution in Android Malware Detection. - Alejandro Guerra-Manzanares; Hayretdin Bahsi (ICDF2C, 2022)

Deep Learning-Based Detection of Cyberattacks in Software-Defined Networks. - Seyed Mohammad Hadi Mirsadeghi; Hayretdin Bahsi; Wissem Inbouli (ICDF2C, 2022)

A Cyber Attack Taxonomy for Microgrid Systems. - Hayretdin Bahsi; Henry Ochieng' Dola; Shaymaa Mamdouh Khalil; Tarmo Korõtko (SoSE, 2022)

In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks. - Rajesh Kalakoti; Sven Nõmm; Hayretdin Bahsi (IEEE Access, 2022)

Concept drift and cross-device behavior: Challenges and implications for effective android malware detection. - Alejandro Guerra-Manzanares; Marcin Luckner; Hayretdin Bahsi (Comput. Secur., 2022)

On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection. - Alejandro Guerra-Manzanares; Hayretdin Bahsi (Comput. Secur., 2022)

Digital forensic analysis of mobile automotive maintenance applications. - Faisal Sumaila; Hayretdin Bahsi (Digit. Investig., 2022)

Android malware concept drift using system calls: Detection, characterization and challenges. - Alejandro Guerra-Manzanares; Marcin Luckner; Hayretdin Bahsi (Expert Syst. Appl., 2022)

Maritime cyber-insurance: the Norwegian case. - Ulrik Franke; Even Langfeldt Friberg; Hayretdin Bahsi (Int. J. Crit. Infrastructures, 2022)

Anomalous File System Activity Detection Through Temporal Association Rule Mining. - Mohammad Reza Heidari Iman; Pavel Chikul; Gert Jervan; Hayretdin Bahsi; Tara Ghasempouri (ICISSP, 2023)

Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). - Rajesh Kalakoti; Sven Nõmm; Hayretdin Bahsi (ICMLA, 2023)

Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking. - Seyed Mohammad Hadi Mirsadeghi; Hayretdin Bahsi; Risto Vaarandi; Wissem Inoubli (IEEE Access, 2023)

Corrigendum to Concept drift and cross-device behavior: Challenges and implications for effective android malware detection Computers & Security, Volume 120, 102757. - Alejandro Guerra-Manzanares; Marcin Luckner; Hayretdin Bahsi (Comput. Secur., 2023)

Threat Modeling of Cyber-Physical Systems - A Case Study of a Microgrid System. - Shaymaa Mamdouh Khalil; Hayretdin Bahsi; Henry Ochieng' Dola; Tarmo Korõtko; Kieran McLaughlin; Vahur Kotkas (Comput. Secur., 2023)

A comparative framework for cyber threat modelling: case of healthcare and industrial control systems. - Taofeek Mobolarinwa Balogun; Hayretdin Bahsi; Omer F. Keskin; Unal Tatar (Int. J. Crit. Infrastructures, 2023)

Leveraging the first line of defense: a study on the evolution and usage of android security permissions for enhanced android malware detection. - Alejandro Guerra-Manzanares; Hayretdin Bahsi; Marcin Luckner (J. Comput. Virol. Hacking Tech., 2023)

On the application of active learning for efficient and effective IoT botnet detection. - Alejandro Guerra-Manzanares; Hayretdin Bahsi (Future Gener. Comput. Syst., 2023)

Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework. - Rajesh Kalakoti; Sven Nõmm; Hayretdin Bahsi (AIIoT, 2024)

Active Learning-Based Mobile Malware Detection Utilizing Auto-Labeling and Data Drift Detection. - Zhe Deng; Arthur Hubert; Sadok Ben Yahia; Hayretdin Bahsi (CSR, 2024)

Explainable Federated Learning for Botnet Detection in IoT Networks. - Rajesh Kalakoti; Hayretdin Bahsi; Sven Nõmm (CSR, 2024)

Hybrid Cybersecurity Research and Education Environment for Maritime Sector. - Gábor Visky; Aleksei Siganov; Muaan ur Rehman; Risto Vaarandi; Hayretdin Bahsi; Leonidas Tsiopoulos (CSR, 2024)

The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis. - Pavel Chikul; Hayretdin Bahsi; Olaf Maennel (ICISSP, 2024)

Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks. - Rajesh Kalakoti; Sven Nõmm; Hayretdin Bahsi (ICMLA, 2024)

Mapping Cyber Attacks on the Internet of Medical Things: A Taxonomic Review. - Venkatesh Kondeti; Hayretdin Bahsi (SOSE, 2024)

Enhancing Privacy Risk Modeling in Practice: A Case Study of an e-Justice System. - Valerii Gakh; Hayretdin Bahsi; Thomas Hoffmann 005; Artem Boyarchuk; Oleksii Khramov (IEEE Access, 2024)

Process-aware security monitoring in industrial control systems: A systematic review and future directions. - Muaan ur Rehman; Hayretdin Bahsi (Int. J. Crit. Infrastructure Prot., 2024)

Threat modeling of industrial control systems: A systematic literature review. - Shaymaa Mamdouh Khalil; Hayretdin Bahsi; Tarmo Korõtko (Comput. Secur., 2024)

Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection. - Rajesh Kalakoti; Hayretdin Bahsi; Sven Nõmm (IEEE Internet Things J., 2024)

Experts still needed: boosting long-term android malware detection with active learning. - Alejandro Guerra-Manzanares; Hayretdin Bahsi (J. Comput. Virol. Hacking Tech., 2024)

Holistic Cyber Threat Modeling for Machine Learning-Based Systems: A Case Study in Healthcare. - Janno Jaal; Hayretdin Bahsi (BIOSTEC (2): HEALTHINF, 2025)

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt. - Zhilong Wang; Neha Nagaraja; Lan Zhang 008; Hayretdin Bahsi; Pawan Patil; Peng Liu 005 (DSN-S, 2025)

Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification. - Rajesh Kalakoti; Risto Vaarandi; Hayretdin Bahsi; Sven Nõmm (ICISSP (1), 2025)

Cyber Threat Modeling of an LLM-Based Healthcare System. - Neha Nagaraja; Hayretdin Bahsi (ICISSP (1), 2025)

Comprehensive Feature Selection for Machine Learning-Based Intrusion Detection in Healthcare IoMT Networks. - Muaan ur Rehman; Rajesh Kalakoti; Hayretdin Bahsi (ICISSP (2), 2025)

Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study. - Karl Tamberg; Hayretdin Bahsi (IEEE Access, 2025)

A Systematic Literature Review of Cyber Security Monitoring in Maritime. - Risto Vaarandi; Leonidas Tsiopoulos; Gábor Visky; Muaan ur Rehman; Hayretdin Bahsi (IEEE Access, 2025)

Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks. - Rajesh Kalakoti; Sven Nõmm; Hayretdin Bahsi (Comput. Networks, 2025)

Generative AI in Intrusion Detection Systems for Internet of Things: A Systematic Literature Review. - Zhe Deng; Ants Torim; Sadok Ben Yahia; Hayretdin Bahsi (IEEE Open J. Commun. Soc., 2025)

Literature Review: Cyber Security Monitoring in Maritime. - Risto Vaarandi; Leonidas Tsiopoulos; Gábor Visky; Muaan ur Rehman; Hayretdin Bahsi (CoRR, 2025)

Enhancing Security in LLM Applications: A Performance Evaluation of Early Detection Systems. - Valerii Gakh; Hayretdin Bahsi (CoRR, 2025)

Using large language models for template detection from security event logs. - Risto Vaarandi; Hayretdin Bahsi (Int. J. Inf. Sec., 2025)