| 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 | 1407 | 2015 |
| 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 | 626 | 2016 |
| 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 | 523 | 2019 |
| 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 | 274 | 2018 |
| 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 | 214 | 2018 |
| A holistic review of Network Anomaly Detection Systems: A comprehensive survey N Moustafa, J Hu, J Slay Journal of Network and Computer Applications, 2019 | 183 | 2019 |
| 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 | 175 | 2015 |
| 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 | 145 | 2017 |
| 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 | 102 | 2017 |
| 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 | 99 | 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 | 98 | 2020 |
| A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems N Moustafa, E Adi, B Turnbull, J Hu IEEE Access, 2018 | 93 | 2018 |
| A hybrid feature selection for network intrusion detection systems: Central points N Moustafa, J Slay the Australian Information Warfare Conference 16, 5-13, 2015 | 92 | 2015 |
| 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 | 84 | 2018 |
| Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions N Koroniotis, N Moustafa, E Sitnikova IEEE Access, 2019 | 81 | 2019 |
| 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 | 78 | 2020 |
| Outlier dirichlet mixture mechanism: Adversarial statistical learning for anomaly detection in the fog N Moustafa, KKR Choo, I Radwan, S Camtepe IEEE Transactions on Information Forensics and Security 14 (8), 1975-1987, 2019 | 76 | 2019 |
| An integrated framework for privacy-preserving based anomaly detection for cyber-physical systems M Keshk, E Sitnikova, N Moustafa, J Hu, I Khalil IEEE Transactions on Sustainable Computing 6 (1), 66-79, 2019 | 71 | 2019 |
| 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 | 66* | 2021 |
| 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 | 63 | 2020 |
