By Associate Professor Nour Moustafa

Journal articles

Mohamed H; Koroniotis N; Schiliro F; Moustafa N, 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

Masud MT; Keshk M; Moustafa N; Turnbull B; Susilo W, 2025, 'Vulnerability defence using hybrid moving target defence in Internet of Things systems', Computers and Security, 153, http://dx.doi.org/10.1016/j.cose.2025.104380

Masud MT; Koroniotis N; Keshk M; Turnbull B; Kermanshahi SK; Moustafa N, 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

Salim S; Moustafa N; Turnbull B, 2025, 'BFL-SC: A blockchain-enabled federated learning framework, with smart contracts, for securing social media-integrated internet of things systems', Ad Hoc Networks, 169, http://dx.doi.org/10.1016/j.adhoc.2025.103760

Pakana F; Sohrabi N; Dong H; Tari Z; Moustafa N, 2025, 'ERT: Data placement based on estimated response time for P2P storage systems', Journal of Parallel and Distributed Computing, 197, http://dx.doi.org/10.1016/j.jpdc.2024.105022

Ding W; Abdel-Basset M; Ali AM; Moustafa N, 2025, 'Large language models for cyber resilience: A comprehensive review, challenges, and future perspectives', Applied Soft Computing, 170, http://dx.doi.org/10.1016/j.asoc.2024.112663

Salim S; Moustafa N; Reisslein M, 2025, 'Cybersecurity of Satellite Communications Systems: A Comprehensive Survey of the Space, Ground, and Links Segments', IEEE Communications Surveys and Tutorials, 27, pp. 372 - 425, http://dx.doi.org/10.1109/COMST.2024.3408277

Pasdar A; Koroniotis N; Keshk M; Moustafa N; Tari Z, 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

Masud MT; Keshk M; Moustafa N; Linkov I; Emge DK, 2025, 'Explainable Artificial Intelligence for Resilient Security Applications in the Internet of Things', IEEE Open Journal of the Communications Society, 6, pp. 2877 - 2906, http://dx.doi.org/10.1109/OJCOMS.2024.3413790

Mohamed H; Koroniotis N; Moustafa N; Schiliro F; Zomaya AY, 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

Salim S; Moustafa N; Turnbull B, 2025, 'Privacy preservation of Internet of Things–integrated social networks: a survey and future challenges', International Journal of Web Information Systems, http://dx.doi.org/10.1108/IJWIS-04-2024-0120

Salim S; Moustafa N; Almorjan A, 2025, 'Responsible Deep-Federated-Learning-Based Threat Detection for Satellite Communications', IEEE Internet of Things Journal, 12, pp. 4807 - 4819, http://dx.doi.org/10.1109/JIOT.2025.3531884

Issa W; Moustafa N; Turnbull B; Sohrabi N; Tari Z; Zomaya AY, 2025, 'VIFL: vulnerability identification using federated learning in the internet of things systems', Computing, 107, http://dx.doi.org/10.1007/s00607-024-01365-z

Akter M; Moustafa N; Turnbull B, 2024, 'SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems', Cognitive Computation, 16, pp. 2626 - 2641, http://dx.doi.org/10.1007/s12559-024-10310-3

Moustafa N, 2024, 'GH-Twin: Graph Learning Empowered Hierarchical Digital Twin for Optimizing Self-Healing Networks', Sustainable Machine Intelligence Journal, 8, http://dx.doi.org/10.61356/smij.2024.8289

Abdel-Basset M; Hawash H; Moustafa N; Razzak I; Abd Elfattah M, 2024, 'Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach', Digital Communications and Networks, 10, pp. 404 - 415, http://dx.doi.org/10.1016/j.dcan.2022.12.013

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

Al-Hawawreh M; Moustafa N, 2024, 'Explainable deep learning for attack intelligence and combating cyber–physical attacks', Ad Hoc Networks, 153, http://dx.doi.org/10.1016/j.adhoc.2023.103329

Sarhan M; Layeghy S; Moustafa N; Gallagher M; Portmann M, 2024, 'Feature extraction for machine learning-based intrusion detection in IoT networks', Digital Communications and Networks, 10, pp. 205 - 216, http://dx.doi.org/10.1016/j.dcan.2022.08.012

Yamany W; Keshk M; Moustafa N; Turnbull B, 2024, 'Swarm Optimization-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks', IEEE Transactions on Consumer Electronics, 70, pp. 1359 - 1369, http://dx.doi.org/10.1109/TCE.2023.3319039

Salim S; Turnbull B; Moustafa N, 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

Al-Hawawreh M; Moustafa N; Slay J, 2024, 'A threat intelligence framework for protecting smart satellite-based healthcare networks', Neural Computing and Applications, 36, pp. 15 - 35, http://dx.doi.org/10.1007/s00521-021-06441-5

Johnson N; Turnbull B; Reisslein M; Moustafa N, 2024, 'CNA-TCC: Campaign Network Attribute Based Thematic Campaign Classification', IEEE Transactions on Computational Social Systems, 11, pp. 4636 - 4648, http://dx.doi.org/10.1109/TCSS.2022.3184387

Whitty MT; Moustafa N; Grobler M, 2024, 'Cybersecurity when working from home during COVID-19: considering the human factors', Journal of Cybersecurity, 10, http://dx.doi.org/10.1093/cybsec/tyae001

Hassanin M; Moustafa N; Razzak I; Tanveer M; Ormrod D; Slay J, 2024, 'Dynamic Hypersphere Embedding Scale Against Adversarial Attacks', IEEE Transactions on Engineering Management, 71, pp. 12475 - 12486, http://dx.doi.org/10.1109/TEM.2022.3194487

Issa W; Moustafa N; Turnbull B; Choo KKR, 2024, 'RVE-PFL: Robust Variational Encoder-Based Personalized Federated Learning Against Model Inversion Attacks', IEEE Transactions on Information Forensics and Security, 19, pp. 3772 - 3787, http://dx.doi.org/10.1109/TIFS.2024.3368879

Zhou Y; Ren Y; Yi M; Xiao Y; Tan Z; Moustafa N; Tian Z, 2023, 'CDTier: A Chinese Dataset of Threat Intelligence Entity Relationships', IEEE Transactions on Sustainable Computing, 8, pp. 627 - 638, http://dx.doi.org/10.1109/TSUSC.2023.3240411

Issa W; Moustafa N; Turnbull B; Sohrabi N; Tari Z, 2023, 'Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey', ACM Computing Surveys, 55, http://dx.doi.org/10.1145/3560816

Sobb T; Turnbull B; Moustafa N, 2023, 'A Holistic Review of Cyber–Physical–Social Systems: New Directions and Opportunities', Sensors, 23, http://dx.doi.org/10.3390/s23177391

Hussien RM; Abohany AA; Moustafa N; Sallam KM, 2023, 'An improved Henry gas optimization algorithm for joint mining decision and resource allocation in a MEC-enabled blockchain networks', Neural Computing and Applications, 35, pp. 18665 - 18680, http://dx.doi.org/10.1007/s00521-023-08695-7

Keshk M; Koroniotis N; Pham N; Moustafa N; Turnbull B; Zomaya AY, 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

Schiliro F; Moustafa N; Razzak I; Beheshti A, 2023, 'DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 7485 - 7493, http://dx.doi.org/10.1109/TITS.2022.3166631

Alsherbiny MA; Radwan I; Moustafa N; Bhuyan DJ; El-Waisi M; Chang D; Li CG, 2023, 'Trustworthy Deep Neural Network for Inferring Anticancer Synergistic Combinations', IEEE Journal of Biomedical and Health Informatics, 27, pp. 1691 - 1700, http://dx.doi.org/10.1109/JBHI.2021.3126339

Al-Doghman F; Moustafa N; Khalil I; Sohrabi N; Tari Z; Zomaya AY, 2023, 'AI-Enabled Secure Microservices in Edge Computing: Opportunities and Challenges', IEEE Transactions on Services Computing, 16, pp. 1485 - 1504, http://dx.doi.org/10.1109/TSC.2022.3155447

Sarhan M; Layeghy S; Moustafa N; Portmann M, 2023, 'Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection', Journal of Network and Systems Management, 31, http://dx.doi.org/10.1007/s10922-022-09691-3

Khan IA; Moustafa N; Pi D; Hussain Y; Khan NA, 2023, 'DFF-SC4N: A Deep Federated Defence Framework for Protecting Supply Chain 4.0 Networks', IEEE Transactions on Industrial Informatics, 19, pp. 3300 - 3309, http://dx.doi.org/10.1109/TII.2021.3108811

Bugshan N; Khalil I; Moustafa N; Rahman MS, 2023, 'Privacy-Preserving Microservices in Industrial Internet-of-Things-Driven Smart Applications', IEEE Internet of Things Journal, 10, pp. 2821 - 2831, http://dx.doi.org/10.1109/JIOT.2021.3098980

Koroniotis N; Moustafa N; Schiliro F; Gauravaram P; Janicke H, 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

Moustafa N; Koroniotis N; Keshk M; Zomaya A; Tari Z, 2023, 'Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions', IEEE Communications Surveys and Tutorials, http://dx.doi.org/10.1109/COMST.2023.3280465

Oseni A; Moustafa N; Creech G; Sohrabi N; Strelzoff A; Tari Z; Linkov I, 2023, 'An Explainable Deep Learning Framework for Resilient Intrusion Detection in IoT-Enabled Transportation Networks', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 1000 - 1014, http://dx.doi.org/10.1109/TITS.2022.3188671

Moustafa N; Koroniotis N; Keshk M; Zomaya AY; Tari Z, 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

Yamany W; Moustafa N; Turnbull B, 2023, 'OQFL: An Optimized Quantum-Based Federated Learning Framework for Defending Against Adversarial Attacks in Intelligent Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 893 - 903, http://dx.doi.org/10.1109/TITS.2021.3130906

Abdel-Basset M; Moustafa N; Hawash H, 2023, 'Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach', IEEE Transactions on Industrial Informatics, 19, pp. 995 - 1005, http://dx.doi.org/10.1109/TII.2022.3165869

Alsaedi A; Tari Z; Mahmud R; Moustafa N; Mahmood A; Anwar A, 2023, 'USMD: UnSupervised Misbehaviour Detection for Multi-Sensor Data', IEEE Transactions on Dependable and Secure Computing, 20, pp. 724 - 739, http://dx.doi.org/10.1109/TDSC.2022.3143493

Khan IA; Moustafa N; Pi D; Haider W; Li B; Jolfaei A, 2022, 'An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 25469 - 25478, http://dx.doi.org/10.1109/TITS.2021.3105834

Akter M; Moustafa N; Lynar T; Razzak I, 2022, 'Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems', IEEE Journal of Biomedical and Health Informatics, 26, pp. 5805 - 5816, http://dx.doi.org/10.1109/JBHI.2022.3192648

Rahman MA; Mukta MY; Asyhari AT; Moustafa N; Patwary MN; Yousuf A; Razzak I; Gupta BB, 2022, 'Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 23771 - 23780, http://dx.doi.org/10.1109/TITS.2022.3203208

Abdel-Basset M; Moustafa N; Hawash H, 2022, 'Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach', IEEE Transactions on Industrial Informatics, 18, pp. 7920 - 7934, http://dx.doi.org/10.1109/TII.2022.3167663

Abdel-Basset M; Hawash H; Moustafa N, 2022, 'Toward Privacy Preserving Federated Learning in Internet of Vehicular Things: Challenges and Future Directions', IEEE Consumer Electronics Magazine, 11, pp. 56 - 66, http://dx.doi.org/10.1109/MCE.2021.3117232

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

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