Moustafa, Nour

UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)

Moustafa, N., & Slay, J. (2015) · 2015 Military Communications and Information Systems Conference (MilCIS)

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 4,033

Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset

Koroniotis, N., Moustafa, N., Sitnikova, E., & Turnbull, B. (2019) · Future Generation Computer Systems

Network Security and Intrusion DetectionDigital and Cyber Forensics

Cited by 1,983

A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions

Asharf, J., Moustafa, N., Khurshid, H., Debie, E., Haider, W., & Wahab, A. (2020) · Electronics

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 378

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

Ashraf, J., Bakhshi, A. D., Moustafa, N., Khurshid, H., Javed, A., & Beheshti, A. (2021) · IEEE Transactions on Intelligent Transportation Systems

Network Security and Intrusion DetectionVehicular Ad Hoc Networks (VANETs)

Cited by 295

Explainable intrusion detection for cyber defences in the internet of things: opportunities and solutions

Moustafa, N., Koroniotis, N., Keshk, M., Zomaya, A. Y., & Tari, Z. (2023) · IEEE Communications Surveys & Tutorials

Network Security and Intrusion DetectionExplainable Artificial Intelligence (XAI)

Cited by 266

Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions and Future Directions

Sobb, T., Turnbull, B., & Moustafa, N. (2020) · Electronics

Digital Transformation in IndustrySupply Chain Resilience and Risk Management

Cited by 189

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems

Abdel-Basset, M., Moustafa, N., Hawash, H., Razzak, I., Sallam, K. M., & Elkomy, O. M. (2022) · IEEE Transactions on Intelligent Transportation Systems

Network Security and Intrusion DetectionVehicular Ad Hoc Networks (VANETs)

Cited by 161

A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems

Moustafa, N., Adi, E., Turnbull, B., & Hu, J. (2018) · IEEE Access

Network Security and Intrusion DetectionDigital Transformation in Industry

Cited by 153

Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems

Akter, M., Moustafa, N., Lynar, T., & Razzak, I. (2022) · IEEE Journal of Biomedical and Health Informatics

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 128

Enhancing IoT anomaly detection performance for federated learning

Weinger, B., Kim, J., Sim, A., Nakashima, M., Moustafa, N., & Wu, K. J. (2022) · Digital Communications and Networks

Privacy-Preserving Technologies in DataAnomaly Detection Techniques and Applications

Cited by 75