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Sara Salim

Sara Salim

Research Associate
UNSW Canberra
UNSW Canberra Space
E-mail
s.salim@unsw.edu.au
  • Journal articles | 2024
    Salim S; Moustafa N; Hassanian M; Ormod D; Slay J, 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
    Journal articles | 2024
    Salim S; Moustafa N; Reisslein M, 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
    Journal articles | 2022
    Salim S; Moustafa N; Turnbull B; Razzak I, 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
    Journal articles | 2022
    Salim S; Turnbull B; Moustafa N, 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
    Journal articles | 2021
    Salim S; Turnbull B; Moustafa N, 2021, 'A Blockchain-Enabled Explainable Federated Learning for Securing Internet-of-Things-Based Social Media 3.0 Networks', IEEE Transactions on Computational Social Systems, http://dx.doi.org/10.1109/TCSS.2021.3134463
  • Conference Papers | 2024
    Salim S; Ali I; Elsawah S, 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
    Conference Papers | 2020
    Moustafa N; Salim S; Turnbull B, 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