Dr M. Omar Alkadri

Senior Lecturer

School of Computing and Digital Technology - CDT

Email:: omar.alkadri@bcu.ac.uk

A senior lecturer at Birmingham City University, with years of academic experience in the field of cyber security, networking, and wireless communications.

Currently, working on three security research directions. The security of healthcare wireless networks to identify and propose solutions for existing vulnerabilities, IoT security with focus on smart homes, where AI and ML are used to detect anomalies and propose solutions to make those algorithms applicable to IoT scenario, and lastly, the security of controlled area networks with focus on in-vehicle networks to identify attacks on smart and conventional vehicles.

If you are interested in joining this research team in cyber security and security of wireless networks, please do not hesitate to get in touch with Dr Omar on omar.alkadri@bcu.ac.uk.

Areas of Expertise

Qualifications

Memberships

Teaching

Research

Publications

Journal Papers

M. O. Al-Kadri, A. Aijaz and A. Nallanathan, ‘An energy-efficient full-duplex MAC protocol for distributed wireless networks.’ IEEE Wireless Communications Letters, 5(1), 44-47. 2015.
M. O. Al-Kadri, Y. Deng, A. Aijaz and A. Nallanathan, ‘Full-Duplex Small Cells for Next Generation Heterogeneous Cellular Networks: A Case Study of Outage and Rate Coverage Analysis’ IEEE Access, vol. 5, pp. 8025-8038, 2017.
M. O. Al-Kadri, A. Aijaz, Y. Deng and A. Nallanathan, ‘X-FDR: A Cross-Layer Routing Protocol for Multi-hop Full-Duplex Wireless Networks’ IEEE Wireless Communications, vol. 26, no. 2, pp. 70-77, April 2019.
Senanayake J, Kalutarage H, Al-Kadri M. O. ‘Android Mobile Malware Detection Using Machine Learning: A Systematic Review’. Electronics. 10(13):1606, 2021.
M. S. Hajar, M. O. Al-Kadri, H. K. Kalutarage, ‘A survey on wireless body area networks: architecture, security challenges and research opportunities’, Computers & Security, Volume 104, 2021.
Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L., ‘Android Source Code Vulnerability Detection: A Systematic Literature Review’, Accepted for Publication in ACM Computing Surveys Subject to Revisions.
Rajapaksha S, Kalutarage H, Al-Kadri M. O., Garikayi M. and Petrovski A. V., ‘AI-based intrusion detection systems for in-vehicle networks: A Survey’ Accepted for Publication in ACM Computing Surveys Subject to Revisions.
M. Kemp, H. K. Kalutarage, M. O. Al-Kadri, ‘AI-Powered Spearphishing Cyber Attacks: Fact or Fiction?’, Submitted to Journal of Technology in Society, Elsevier, 2022.

Conference Papers

M. O. Al-Kadri, A. Aijaz and A. Nallanathan, "Ergodic capacity of interference coordinated hetnet with full-duplex small cells." Proceedings of European Wireless 2015; 21th European Wireless Conference. VDE, 2015.
Al-Kadri, M. O., Deng, Y., & Nallanathan, A. ‘Outage probability of heterogeneous cellular networks with full-duplex small cells’. In 2016 IEEE Global Communications Conference (GLOBECOM) (pp. 1-6). 2016.
Harsha Kumara Kalutarage, M. Omar Al-Kadri, Madeline Cheah, and Garikayi Madzudzo. ‘Context-aware Anomaly Detector for Monitoring Cyber Attacks on Automotive CAN Bus’. In ACM Computer Science in Cars Symposium (CSCS ’19). Kaiserslautern, Germany, Article 7, 1–8, 2019.
Zakariyya, Idris, M. Omar Al-Kadri, Harsha Kalutarage, and Andrei Petrovski. "Reducing computational cost in IoT cyber security: case study of artificial immune system algorithm.", In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, Volume 2: SECRYPT, Czech Republic, 2019.
M. S. Hajar, M. O. Al-Kadri and H. Kalutarage, "ETAREE: An Effective Trend-Aware Reputation Evaluation Engine for Wireless Medical Sensor Networks," 2020 IEEE Conference on Communications and Network Security (CNS), 2020.
M. S. Hajar, M. O. Al-Kadri and H. Kalutarage, "LTMS: A Lightweight Trust Management System for Wireless Medical Sensor Networks," 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1783-1790, 2020.
I. Zakariyya, M. O. Al-Kadri and H. Kalutarage, "Resource Efficient Boosting Method for IoT Security Monitoring," 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), 2021.
M. S. Hajar, H. Kalutarage and M. O. Al-Kadri, "TrustMod: A Trust Management Module For NS-3 Simulator," 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021.
Zakariyya, I., Kalutarage, H., & Al-Kadri, M. O. ‘Memory efficient federated deep learning for intrusion detection in IoT networks’. AI-CyberSec 2021: Workshop on Artificial Intelligence and Cyber Security, http://ceur-ws.org/Vol-3125/paper7.pdf
Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L. "Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning." In Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security, pp. 1255-1257. 2022.
Zakariyya, I., Kalutarage, H. and Al-Kadri, M.O.. "Robust, Effective and Resource Efficient Deep Neural Network for Intrusion Detection in IoT Networks." In Proceedings of the 8th ACM on Cyber-Physical System Security CPSS Workshop, pp. 41-51. 2022.
Rajapaksha S, Kalutarage H, Al-Kadri M. O., Garikayi M. and Petrovski A. V., ‘Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security’ Accepted in the 14th International Conference on Cyber Conflict (CyCon) 2022.
M. S. Hajar, H. K. Kalutarage, M. O. Al-Kadri, ‘RRP: A Reliable Reinforcement Learning Based Routing Protocol for Wireless Medical Sensor Networks’, Submitted for European Symposium on Research in Computer Security (ESORICS), 2022.
Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L. ‘Developing Secure Android Apps with Machine Learning Using LVDAndro’, Submitted for European Symposium on Research in Computer Security (ESORICS), 2022.

Book Chapters

M. S. Hajar, M. O. Al-Kadri, H. K. Kalutarage,' 'Security Challenges in Wireless Body Area Networks for Smart Healthcare', Accepted Book Chapter in 'AI for HealthCare', CRC, 2022.
H. Eke, A. Petrovski, H. Ahriz, M. O. Al-Kadri 'Framework for Detecting APTs Based on Steps Analysis and Correlation’, Accepted Book Chapter in ‘Security and Resilience in Cyber-Physical Systems, Springer,2022.