ORCID as entered in ROS

Select Publications
2025, 'Responsible Deep Federated Learning-based Threat Detection for Satellite Communications', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2025.3531884
,2024, 'Deep-Federated-Learning-Based Threat Detection Model for Extreme Satellite Communications', IEEE Internet of Things Journal, 11, pp. 3853 - 3867, http://dx.doi.org/10.1109/JIOT.2023.3301626
,2024, 'A Blockchain-Enabled Explainable Federated Learning for Securing Internet-of-Things-Based Social Media 3.0 Networks', IEEE Transactions on Computational Social Systems, 11, pp. 4681 - 4697, http://dx.doi.org/10.1109/TCSS.2021.3134463
,2024, 'Cybersecurity of Satellite Communications Systems: A Comprehensive Survey of the Space, Ground, and Links Segments', IEEE Communications Surveys and Tutorials, http://dx.doi.org/10.1109/COMST.2024.3408277
,2022, 'Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks', ACM Transactions on Multimedia Computing, Communications and Applications, 18, http://dx.doi.org/10.1145/3537899
,2022, 'Data analytics of social media 3.0: Privacy protection perspectives for integrating social media and Internet of Things (SM-IoT) systems', Ad Hoc Networks, 128, http://dx.doi.org/10.1016/j.adhoc.2022.102786
,2024, 'A Secure Simulation-optimisation Framework for Fleet Mix Problem: A Defence-based Real-world Application', in GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pp. 207 - 210, http://dx.doi.org/10.1145/3638530.3654170
,2020, 'Privacy-Encoding Models for Preserving Utility of Machine Learning Algorithms in Social Media', Guangzhou, China, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020
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