M. Omar Al-Kadri
Orcid: 0000-0002-1146-1860
According to our database1,
M. Omar Al-Kadri
authored at least 31 papers
between 2016 and 2023.
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Bibliography
2023
3R: A reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks.
Comput. Networks, December, 2023
ACM Comput. Surv., November, 2023
Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring.
Comput. Secur., October, 2023
Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system.
J. Inf. Secur. Appl., September, 2023
ACM Comput. Surv., 2023
Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models.
Proceedings of the 20th International Conference on Security and Cryptography, 2023
FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023
Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023
Proceedings of the Data and Applications Security and Privacy XXXVII, 2023
Cyber Incident Scenarios in the Maritime Industry: Risk Assessment and Mitigation Strategies.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023
RRP: A Reliable Reinforcement Learning Based Routing Protocol for Wireless Medical Sensor Networks.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
DQR: A Double Q Learning Multi Agent Routing Protocol for Wireless Medical Sensor Network.
Proceedings of the Security and Privacy in Communication Networks, 2022
Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2022
Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security.
Proceedings of the 14th International Conference on Cyber Conflict: Keep Moving!, 2022
Robust, Effective and Resource Efficient Deep Neural Network for Intrusion Detection in IoT Networks.
Proceedings of the 8th ACM on Cyber-Physical System Security Workshop, 2022
A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
Proceedings of the Attacks and Defenses for the Internet-of-Things, 2022
2021
A survey on wireless body area networks: architecture, security challenges and research opportunities.
Comput. Secur., 2021
Proceedings of the 20th IEEE International Conference on Trust, 2021
Proceedings of the Workshop on AI and Cybersecurity (AI-Cybersec 2021) co-located with 41st SGAI International Conference on Artificial Intelligence (SGAI 2021), 2021
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021
2020
Proceedings of the 19th IEEE International Conference on Trust, 2020
ETAREE: An Effective Trend-Aware Reputation Evaluation Engine for Wireless Medical Sensor Networks.
Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020
2019
IEEE Wirel. Commun., 2019
Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm.
Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, 2019
Proceedings of the ACM Computer Science in Cars Symposium, 2019
2018
CoRR, 2018
2017
Full-Duplex Small Cells for Next Generation Heterogeneous Cellular Networks: A Case Study of Outage and Rate Coverage Analysis.
IEEE Access, 2017
2016
IEEE Wirel. Commun. Lett., 2016
Proceedings of the 2016 IEEE Global Communications Conference, 2016