| 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 8 (12), 9463-9472, 2020 | 411 | 2020 |
| A review of intrusion detection and blockchain applications in the cloud: approaches, challenges and solutions O Alkadi, N Moustafa, B Turnbull IEEE Access 8, 104893-104917, 2020 | 104 | 2020 |
| Mixture localization-based outliers models for securing data migration in cloud centers O AlKadi, N Moustafa, B Turnbull, KKR Choo IEEE Access 7, 114607-114618, 2019 | 33 | 2019 |
| An ontological graph identification method for improving localization of IP prefix hijacking in network systems OS Alkadi, N Moustafa, B Turnbull, KKR Choo IEEE Transactions on Information Forensics and Security 15, 1164-1174, 2019 | 16 | 2019 |
| A collaborative intrusion detection system using deep blockchain framework for securing cloud networks O Alkadi, N Moustafa, B Turnbull Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2021 | 13 | 2021 |
| Road scene analysis for determination of road traffic density O Al-Kadi, O Al-Kadi, R Al-Sayyed, J Alqatawna Frontiers of Computer Science 8, 619-628, 2014 | 10 | 2014 |
| deep blockchain framework-enabled collaborative intrusion detection for protecting IoT and cloud networks. IEEE Internet Things J 2020: 1 O Alkadi, N Moustafa, B Turnbull, K Choo, A KRKR | 2 | 2020 |
| Defending Against Anomalies in Cloud Services and Live Migration O Al-Kadi University of New South Wales, Sydney, Australia, 2020 | 1 | 2020 |
