ORCID as entered in ROS

Select Publications
2025, 'IoT-CAD: A comprehensive Digital Forensics dataset for AI-based Cyberattack Attribution Detection methods in IoT environments', Ad Hoc Networks, 174, http://dx.doi.org/10.1016/j.adhoc.2025.103840
,2025, 'Generative fuzzer-driven vulnerability detection in the Internet of Things networks', Applied Soft Computing, 174, http://dx.doi.org/10.1016/j.asoc.2025.112973
,2025, 'Cybersecurity Solutions and Techniques for Internet of Things Integration in Combat Systems', IEEE Transactions on Sustainable Computing, 10, pp. 345 - 365, http://dx.doi.org/10.1109/TSUSC.2024.3443256
,2025, 'Harnessing Federated Learning for Digital Forensics in IoT: A Survey and Introduction to the IoT-LF Framework', IEEE Open Journal of the Communications Society, 6, pp. 3161 - 3191, http://dx.doi.org/10.1109/OJCOMS.2024.3492919
,2023, 'An explainable deep learning-enabled intrusion detection framework in IoT networks', Information Sciences, 639, http://dx.doi.org/10.1016/j.ins.2023.119000
,2023, 'The SAir-IIoT Cyber Testbed as a Service: A Novel Cybertwins Architecture in IIoT-Based Smart Airports', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 2368 - 2381, http://dx.doi.org/10.1109/TITS.2021.3106378
,2023, 'Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions', IEEE Communications Surveys and Tutorials, 25, pp. 1775 - 1807, http://dx.doi.org/10.1109/COMST.2023.3280465
,2022, 'A new Intelligent Satellite Deep Learning Network Forensic framework for smart satellite networks', Computers and Electrical Engineering, 99, http://dx.doi.org/10.1016/j.compeleceng.2022.107745
,2020, 'A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports', IEEE Access, 8, pp. 209802 - 209834, http://dx.doi.org/10.1109/ACCESS.2020.3036728
,2020, 'A New Network Forensic Framework based on Deep Learning for Internet of Things Networks: A Particle Deep Framework', Future Generation Computers Systems
,2019, 'Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset', Future Generation Computer Systems
,2019, 'Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions', IEEE Access, 7, pp. 61764 - 61785, http://dx.doi.org/10.1109/ACCESS.2019.2916717
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