Outage Probability of Heterogeneous Cellular Networks with Full-Duplex Small Cells. - M. Omar Al-Kadri; Yansha Deng; Arumugam Nallanathan (GLOBECOM, 2016)

An Energy-Efficient Full-Duplex MAC Protocol for Distributed Wireless Networks. - M. Omar Al-Kadri; Adnan Aijaz; Arumugam Nallanathan (IEEE Wirel. Commun. Lett., 2016)

Full-Duplex Small Cells for Next Generation Heterogeneous Cellular Networks: A Case Study of Outage and Rate Coverage Analysis. - M. Omar Al-Kadri; Yansha Deng; Adnan Aijaz; Arumugam Nallanathan (IEEE Access, 2017)

X-FDR: A Cross-Layer Routing Protocol for Multi-hop Full-Duplex Wireless Networks. - M. Omar Al-Kadri; Adnan Aijaz; Arumugam Nallanathan (CoRR, 2018)

Context-aware Anomaly Detector for Monitoring Cyber Attacks on Automotive CAN Bus. - Harsha Kumara Kalutarage; M. Omar Al-Kadri; Madeline Cheah; Garikayi Madzudzo (CSCS, 2019)

Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. - Idris Zakariyya; M. Omar Al-Kadri; Harsha K. Kalutarage; Andrei Petrovski 001 (ICETE (2), 2019)

X-FDR: A Cross-Layer Routing Protocol for Multihop Full-Duplex Wireless Networks. - M. Omar Al-Kadri; Adnan Aijaz; Arumugam Nallanathan (IEEE Wirel. Commun., 2019)

ETAREE: An Effective Trend-Aware Reputation Evaluation Engine for Wireless Medical Sensor Networks. - Muhammad Shadi Hajar; M. Omar Al-Kadri; Harsha K. Kalutarage (CNS, 2020)

LTMS: A Lightweight Trust Management System for Wireless Medical Sensor Networks. - Muhammad Shadi Hajar; M. Omar Al-Kadri; Harsha K. Kalutarage (TrustCom, 2020)

Resource Efficient Boosting Method for IoT Security Monitoring. - Idris Zakariyya; M. Omar Al-Kadri; Harsha K. Kalutarage (CCNC, 2021)

Memory Efficient Federated Deep Learning for Intrusion Detection in IoT Networks. - Idris Zakariyya; Harsha K. Kaluterage; M. Omar Al-Kadri (AI-Cybersec@SGAI, 2021)

TrustMod: A Trust Management Module For NS-3 Simulator. - Muhammad Shadi Hajar; Harsha K. Kalutarage; M. Omar Al-Kadri (TrustCom, 2021)

A survey on wireless body area networks: architecture, security challenges and research opportunities. - Muhammad Shadi Hajar; M. Omar Al-Kadri; Harsha Kumara Kalutarage (Comput. Secur., 2021)

Resource Efficient Federated Deep Learning for IoT Security Monitoring. - Idris Zakariyya; Harsha K. Kalutarage; M. Omar Al-Kadri (ADIoT, 2022)

Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei V. Petrovski; Luca Piras 003 (AsiaCCS, 2022)

A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error. - Muhammad Shadi Hajar; Harsha K. Kalutarage; M. Omar Al-Kadri (AI, 2022)

Robust, Effective and Resource Efficient Deep Neural Network for Intrusion Detection in IoT Networks. - Idris Zakariyya; Harsha K. Kalutarage; M. Omar Al-Kadri (CPSS@AsiaCCS, 2022)

Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security. - Sampath Rajapaksha; Harsha K. Kalutarage; M. Omar Al-Kadri; Garikayi Madzudzo; Andrei V. Petrovski (CyCom, 2022)

AI-Powered Vulnerability Detection for Secure Source Code Development. - Sampath Rajapaksha; Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri (SecITC, 2022)

DQR: A Double Q Learning Multi Agent Routing Protocol for Wireless Medical Sensor Network. - Muhammad Shadi Hajar; Harsha K. Kalutarage; M. Omar Al-Kadri (SecureComm, 2022)

RRP: A Reliable Reinforcement Learning Based Routing Protocol for Wireless Medical Sensor Networks. - Muhammad Shadi Hajar; Harsha K. Kalutarage; M. Omar Al-Kadri (CCNC, 2023)

Cyber Incident Scenarios in the Maritime Industry: Risk Assessment and Mitigation Strategies. - Mohamed Amine Ben Farah; M. Omar Al-Kadri; Yussuf Ahmed; Raouf Abouzariba; Xavier J. A. Bellekens (CSR, 2023)

Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Luca Piras 003 (DBSec, 2023)

Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis. - Sampath Rajapaksha; Janaka Senanayake; Harsha Kalutarage; M. Omar Al-Kadri (ESORICS Workshops (2), 2023)

FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. - Janaka Senanayake; Harsha Kalutarage; Andrei Petrovski 001; M. Omar Al-Kadri; Luca Piras 003 (ESORICS Workshops (2), 2023)

Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Luca Piras 003; Andrei Petrovski 001 (SECRYPT, 2023)

Improving In-vehicle Networks Intrusion Detection Using On-Device Transfer Learning. - Sampath Rajapaksha; Harsha Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo (VehicleSec, 2023)

Android Source Code Vulnerability Detection: A Systematic Literature Review. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Luca Piras 003 (ACM Comput. Surv., 2023)

Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system. - Sampath Rajapaksha; Harsha Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo (J. Inf. Secur. Appl., 2023)

Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. - Idris Zakariyya; Harsha K. Kalutarage; M. Omar Al-Kadri (Comput. Secur., 2023)

AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. - Sampath Rajapaksha; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo; Madeline Cheah (ACM Comput. Surv., 2023)

3R: A reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks. - Muhammad Shadi Hajar; Harsha Kumara Kalutarage; M. Omar Al-Kadri (Comput. Networks, 2023)

Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection. - Janaka Senanayake; Harsha Kalutarage; Luca Piras 003; Mhd Omar Al-Kadri; Andrei Petrovski 001 (ESORICS Workshops (2), 2024)

A survey on blockchain technology in the maritime industry: Challenges and future perspectives. - Mohamed Amine Ben Farah; Yussuf Ahmed; Haitham H. Mahmoud; Syed Attique Shah; M. Omar Al-Kadri; Sandy Taramonli; Xavier J. A. Bellekens; Raouf Abozariba; Moad Idrissi; Adel Aneiba (Future Gener. Comput. Syst., 2024)

Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI. - Janaka Senanayake; Harsha Kalutarage; Andrei Petrovski 001; Luca Piras 003; M. Omar Al-Kadri (J. Inf. Secur. Appl., 2024)

Label dependency modeling in Multi-Label Naïve Bayes through input space expansion. - P. K. A. Chitra; Saravana Balaji Balasubramanian; Omar Khattab; Mhd Omar Al-Kadri (PeerJ Comput. Sci., 2024)

Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges. - Somaiyeh MahmoudZadeh; Amirmehdi Yazdani 001; Yashar Kalantari; Bekir Sait Ciftler; Fathi Aidarus; Mhd Omar Al-Kadri (Robotics, 2024)

AI-Powered Spearphishing Cyber Attacks: Fact or Fiction? - Matthew Kemp; Harsha Kalutarage; M. Omar Al-Kadri (CoRR, 2025)