| UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) N Moustafa, J Slay Military Communications and Information Systems Conference (MilCIS), 2015 | 3553 | 2015 |
| Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset N Koroniotis, N Moustafa, E Sitnikova, B Turnbull Future Generation Computer Systems, 2019 | 1557 | 2019 |
| The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set N Moustafa, J Slay Information Security Journal A Global Perspective, 2016 | 1132 | 2016 |
| An Ensemble Intrusion Detection Technique based on proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things N Moustafa, B Turnbull, KKR Choo IEEE Internet of Things Journal, 2018 | 554 | 2018 |
| TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems A Alsaedi, N Moustafa, Z Tari, A Mahmood, A Anwar IEEE Access, 2020 | 541 | 2020 |
| A Deep Blockchain Framework-enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks O Alkadi, N Moustafa, B Turnbull, KKR Choo IEEE Internet of Things Journal, 2020 | 392 | 2020 |
| Identification of malicious activities in industrial internet of things based on deep learning models ALH Muna, N Moustafa, E Sitnikova Journal of information security and applications 41, 1-11, 2018 | 391 | 2018 |
| A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets N Moustafa Sustainable Cities and Society, 102994, 2021 | 377 | 2021 |
| A holistic review of Network Anomaly Detection Systems: A comprehensive survey N Moustafa, J Hu, J Slay Journal of Network and Computer Applications, 2019 | 349 | 2019 |
| NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems M Sarhan, S Layeghy, N Moustafa, M Portmann BDTA 2020 Conference, WiCON 2020: Big Data Technologies and Applications, 2021 | 342 | 2021 |
| Novel Geometric Area Analysis Technique for Anomaly Detection using Trapezoidal Area Estimation on Large-scale Networks N Moustafa, J Slay, G Creech IEEE Transactions on Big Data, 1-14, 2017 | 296 | 2017 |
| The significant features of the UNSW-NB15 and the KDD99 data sets for network intrusion detection systems N Moustafa, J Slay 2015 4th international workshop on building analysis datasets and gathering …, 2015 | 290 | 2015 |
| A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things:Challenges, Solutions and Future Directions J Ashraf, N Moustafa, H Khurshid, E Debie, W Haider, A Wahab Electronics Journal, 2020 | 289 | 2020 |
| ToN_IoT: The role of heterogeneity and the need for standardization of features and attack types in IoT network intrusion data sets TM Booij, I Chiscop, E Meeuwissen, N Moustafa, FTH Den Hartog IEEE Internet of Things Journal 9 (1), 485-496, 2021 | 271 | 2021 |
| Novel Deep Learning-enabled LSTM Autoencoder Architecture for Discovering Anomalous Events from Intelligent Transportation Systems J Ashraf, A Bakhshi, N Moustafa, H Khurshid, A Javed, A Beheshti IEEE Transactions on Intelligent Transportation Systems, 2020 | 239 | 2020 |
| Big Data Analytics for Intrusion Detection System: Statistical Decision-making using Finite Dirichlet Mixture Models N Moustafa, G Creech, J Slay Data Analytics and Decision Support for Cybersecurity 1, 127-156, 2017 | 224 | 2017 |
| A New Network Forensic Framework based on Deep Learning for Internet of Things Networks: A Particle Deep Framework N Koroniotis, N Moustafa, E Sitnikova Future Generation Computer Systems, 2020 | 221 | 2020 |
| Towards Developing Network Forensic Mechanism for Botnet Activities in the IoT Based on Machine Learning Techniques N Koroniotis, N Moustafa, E Sitnikova, J Slay Mobile Networks and Management: 9th International Conference, MONAMI 2017 …, 2018 | 217 | 2018 |
| Blockchain-based federated learning for securing internet of things: A comprehensive survey W Issa, N Moustafa, B Turnbull, N Sohrabi, Z Tari ACM Computing Surveys 55 (9), 1-43, 2023 | 194 | 2023 |
| Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions and Future Directions T Sobb, B Turnbull, N Moustafa Electronics Journal, 2020 | 192 | 2020 |
