| A Privacy-Preserving Framework based Blockchain and Deep Learning for Protecting Smart Power Networks M Keshk, B Turnbull, N Moustafa, D Vatsalan, KKR Choo IEEE Transactions on Industrial Informatics, 2020 | 141 | 2020 |
| 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, 2019 | 140 | 2019 |
| IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities J Ashraf, M Keshk, N Moustafa, M Abdel-Basset, H Khurshid, AD Bakhshi, ... Sustainable Cities and Society 72, 103041, 2021 | 119 | 2021 |
| Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing N Moustafa, G Creech, E Sitnikova, M Keshk Military Communications and Information Systems Conference (MilCIS …, 2017 | 81 | 2017 |
| Privacy Preservation Intrusion Detection Technique for SCADA Systems M Keshk, N Moustafa, E Sitnikova, G Creech Military Communications and Information Systems Conference (MilCIS …, 2017 | 80 | 2017 |
| Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications N Moustafa, M Keshk, E Debie, H Janicke The 19th IEEE International Conference on Trust, Security and Privacy in …, 2020 | 64 | 2020 |
| Privacy-Preserving Big Data Analytics for Cyber-Physical Systems M Keshk, N Moustafa, E Sitnikova, B Turnbull BDTA 2018 - 9th EAI International Conference on Big Data Technologies and …, 2018 | 45* | 2018 |
| DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks N Moustafa, M Keshk, KKR Choo, T Lynar, S Camtepe, M Whitty Future Generation Computer Systems 118, 240-251, 2021 | 35 | 2021 |
| An explainable deep learning-enabled intrusion detection framework in IoT networks M Keshk, N Koroniotis, N Pham, N Moustafa, B Turnbull, AY Zomaya Information Sciences 639, 119000, 2023 | 33 | 2023 |
| Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems IA Khan, M Keshk, D Pi, N Khan, Y Hussain, H Soliman Ad Hoc Networks 134, 102930, 2022 | 32 | 2022 |
| Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions N Moustafa, N Koroniotis, M Keshk, AY Zomaya, Z Tari IEEE Communications Surveys & Tutorials, 2023 | 30 | 2023 |
| Privacy-preserving schemes for safeguarding heterogeneous data sources in cyber-physical systems M Keshk, B Turnbull, E Sitnikova, D Vatsalan, N Moustafa IEEE Access 9, 55077-55097, 2021 | 30 | 2021 |
| FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems W Haider, N Moustafa, M Keshk, A Fernandez, KKR Choo, A Wahab Computers & Security 96, 101906, 2020 | 26 | 2020 |
| Automatic estimation of differential evolution parameters using Hidden Markov Models M Keshk, H Singh, H Abbass Evolutionary Intelligence 10, 77-93, 2018 | 11 | 2018 |
| IoTBoT-IDS: a novel statistical learningenabled botnet detection framework for protecting networks of smart cities. Sustain Cities Soc 72: 103041 J Ashraf, M Keshk, N Moustafa, M Abdel-Basset, H Khurshid, AD Bakhshi, ... | 7 | 2021 |
| Privacy-Preserving Techniques for Protecting Large-Scale Data of Cyber-Physical Systems M Keshk, N Moustafa, E Sitnikova, B Turnbull, D Vatsalan The 16th International Conference on Mobility, Sensing and Networking and …, 2020 | 6 | 2020 |
| Semantic evolutionary visualization M Keshk Advances in Swarm Intelligence: 8th International Conference, ICSI 2017 …, 2017 | 2 | 2017 |
| Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function Monitoring M Hussein, M Keshk, A Hussein Australasian Joint Conference on Artificial Intelligence, 350-362, 2023 | | 2023 |
| An Explainable Intrusion Discovery Framework for Assessing Cyber Resilience in the Internet of Things Networks MT Masud, M Keshk, N Moustafa, I Linkov Proceedings of the Future Technologies Conference, 199-215, 2023 | | 2023 |
| Swarm Optimisation-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks W Yamany, M Keshk, N Moustafa, B Turnbull IEEE Transactions on Consumer Electronics, 2023 | | 2023 |
Nour MoustafaAcademic Lead in Cyber Security & Computing, ARC DECRA Fellow, Spitfire Defence FellowAdresse e-mail validée de ieee.org
