Hayretdin Bahsi
Orcid: 0000-0001-8882-4095
According to our database1,
Hayretdin Bahsi
authored at least 44 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Secur., January, 2024
The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis.
Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024
2023
On the application of active learning for efficient and effective IoT botnet detection.
Future Gener. Comput. Syst., April, 2023
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., March, 2023
A comparative framework for cyber threat modelling: case of healthcare and industrial control systems.
Int. J. Crit. Infrastructures, 2023
Comput. Secur., 2023
Corrigendum to Concept drift and cross-device behavior: Challenges and implications for effective android malware detection Computers & Security, Volume 120, 102757.
Comput. Secur., 2023
Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking.
IEEE Access, 2023
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI).
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023
2022
Android malware concept drift using system calls: Detection, characterization and challenges.
Expert Syst. Appl., 2022
Digit. Investig., 2022
On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection.
Comput. Secur., 2022
Concept drift and cross-device behavior: Challenges and implications for effective android malware detection.
Comput. Secur., 2022
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks.
IEEE Access, 2022
Proceedings of the 17th Annual System of Systems Engineering Conference, 2022
Proceedings of the Digital Forensics and Cyber Crime - 13th EAI International Conference, 2022
On the Application of Active Learning to Handle Data Evolution in Android Malware Detection.
Proceedings of the Digital Forensics and Cyber Crime - 13th EAI International Conference, 2022
2021
A machine learning-based forensic tool for image classification - A design science approach.
Digit. Investig., 2021
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization.
Comput. Secur., 2021
Proceedings of the Model and Data Engineering - 10th International Conference, 2021
2020
Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems.
Proceedings of the Information Systems Security and Privacy - 6th International Conference, 2020
Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020
Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health, 2020
2019
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective.
Proceedings of the Sixth International Conference on Internet of Things: Systems, 2019
Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019
Proceedings of the 2019 International Conference on Cyber Security and Protection of Digital Services, 2019
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks.
Proceedings of the 2019 International Conference on Cyberworlds, 2019
Mapping the Information Flows for the Architecture of a Nationwide Situation Awareness System : (Poster).
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2019
2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the Digital Forensics and Cyber Crime - 10th International EAI Conference, 2018
Proceedings of the 15th International Conference on Control, 2018
2016
Impact assessment of cyber attacks: A quantification study on power generation systems.
Proceedings of the 11th System of Systems Engineering Conference, 2016
2015
A Conceptual Nationwide Cyber Situational Awareness Framework for Critical Infrastructures.
Proceedings of the Secure IT Systems, 20th Nordic Conference, 2015
2013
Security-level classification for confidential documents by using adaptive neuro-fuzzy inference systems.
Expert Syst. J. Knowl. Eng., 2013
2011
Classification of confidential documents by using adaptive neurofuzzy inference systems.
Proceedings of the First World Conference on Information Technology, 2011
Proceedings of the 3rd International Conference on Cyber Conflict, 2011
2010
Privacy preserving data collection framework for user centric network applications (Günümüz kullanıcı eksenli ağ uygulamaları için kişisel gizliliği sağlayan bilgi toplama anaçatısı)
PhD thesis, 2010
Data Collection Framework for Energy Efficient Privacy Preservation in Wireless Sensor Networks Having Many-to-Many Structures.
Sensors, 2010
2009
Proceedings of the User Centric Media - First International Conference, 2009
Energy Efficient Privacy Preserved Data Gathering in Wireless Sensor Networks Having Multiple Sinks.
Proceedings of the 2nd International Conference on Computer Science and its Applications, 2009