Privacy-Encoding Models for Preserving Utility of Machine Learning Algorithms in Social Media. - Sara Salim; Nour Moustafa; Benjamin P. Turnbull (TrustCom, 2020)

Data analytics of social media 3.0: Privacy protection perspectives for integrating social media and Internet of Things (SM-IoT) systems. - Sara Salim; Benjamin P. Turnbull; Nour Moustafa (Ad Hoc Networks, 2022)

Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks. - Sara Salim; Nour Moustafa; Benjamin P. Turnbull; Imran Razzak (ACM Trans. Multim. Comput. Commun. Appl., 2022)

A Secure Simulation-optimisation Framework for Fleet Mix Problem: A Defence-based Real-world Application. - Sara Salim; Ismail M. Ali; Sondoss Elsawah (GECCO Companion, 2024)

Deep-Federated-Learning-Based Threat Detection Model for Extreme Satellite Communications. - Sara Salim; Nour Moustafa; Mohamed Hassanian; David G. A. Ormrod; Jill Slay (IEEE Internet Things J., 2024)

A Blockchain-Enabled Explainable Federated Learning for Securing Internet-of-Things-Based Social Media 3.0 Networks. - Sara Salim; Benjamin P. Turnbull; Nour Moustafa (IEEE Trans. Comput. Soc. Syst., 2024)

PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networks. - Mohammed Hassanin; Marwa Keshk; Sara Salim; Majid Alsubaie; Dharmendra Sharma (Ad Hoc Networks, 2025)

BFL-SC: A blockchain-enabled federated learning framework, with smart contracts, for securing social media-integrated internet of things systems. - Sara Salim; Nour Moustafa; Benjamin P. Turnbull (Ad Hoc Networks, 2025)

Cybersecurity of Satellite Communications Systems: A Comprehensive Survey of the Space, Ground, and Links Segments. - Sara Salim; Nour Moustafa; Martin Reisslein (IEEE Commun. Surv. Tutorials, 2025)

Responsible Deep-Federated-Learning-Based Threat Detection for Satellite Communications. - Sara Salim; Nour Moustafa; Abdulrazaq Almorjan (IEEE Internet Things J., 2025)