I have completed my PhD degree in the field of Cyber Security from the University of New South Wales (UNSW), Australia. My primary research interests include cyber security for cloud computing, Fog and IoT systems with a focus on forensics security, deep learning, and blockchain technologies.


Thesis (PhD):

  • Alkadi, O. S. (2020). Defending Against Anomalies in Cloud Services and Live

Journal articles: 

  • Al-Kadi, O., Al-Kadi, O., Al-Sayyed, R., & Alqatawna, J. F. (2014). Road scene analysis for determination of road traffic density. Frontiers of Computer Science8(4), 619-628.
  • Alkadi, O. S., Moustafa, N., Turnbull, B., & Choo, K. K. R. (2019). An Ontological Graph Identification Method for Improving Localization of IP Prefix Hijacking in Network Systems. IEEE Transactions on Information Forensics and Security, 15, 1164-1174.
  • Alkadi, O., Moustafa, N., Turnbull, B., & Choo, K. K. R. (2019). Mixture Localization-Based Outliers Models for securing Data Migration in Cloud Centers. IEEE Access, 7, 114607-114618.
  • Alkadi, O., Moustafa, N., & Turnbull, B. (2020). A Review of Intrusion Detection and Blockchain Applications in the Cloud: Approaches, Challenges and Solutions. IEEE Access.
  • Alkadi, O., Moustafa, N., Turnbull, B., & Choo, K. K. R. (2020). A Deep Blockchain Framework-enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks. IEEE Internet of Things Journal.

Conference Papers:

  • Alkadi O; Moustafa N; Turnbull B, 2020, ‘A Collaborative Intrusion Detection System using Deep Blockchain Framework for Securing Cloud Networks’, 2020 Amsterdam, Netherlands, presented at Intelligent Systems Conference (IntelliSys), 2020 Amsterdam, Netherlands, 03 September 2020 – 04 September 2020.