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ORCIDM. Omar Al-Kadri
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2020 – today
- 2024
[j12]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:
A survey on blockchain technology in the maritime industry: Challenges and future perspectives. Future Gener. Comput. Syst. 157: 618-637 (2024)- [j11]Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, Luca Piras, M. Omar Al-Kadri:
Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI. J. Inf. Secur. Appl. 82: 103741 (2024) - [j10]Somaiyeh MahmoudZadeh, Amirmehdi Yazdani, Yashar Kalantari, Bekir Sait Ciftler, Fathi Aidarus, Mhd Omar Al-Kadri:
Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges. Robotics 13(8): 117 (2024) - 2023
- [j9]Muhammad Shadi Hajar, Harsha Kumara Kalutarage, M. Omar Al-Kadri:
3R: A reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks. Comput. Networks 237: 110073 (2023) - [j8]Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri:
Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. Comput. Secur. 133: 103388 (2023) - [j7]Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras:
Android Source Code Vulnerability Detection: A Systematic Literature Review. ACM Comput. Surv. 55(9): 187:1-187:37 (2023) - [j6]Sampath Rajapaksha, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo, Madeline Cheah:
AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. ACM Comput. Surv. 55(11): 237:1-237:40 (2023) - [j5]Sampath Rajapaksha, Harsha Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo:
Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system. J. Inf. Secur. Appl. 77: 103570 (2023) - [c21]Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri:
RRP: A Reliable Reinforcement Learning Based Routing Protocol for Wireless Medical Sensor Networks. CCNC 2023: 781-789 - [c20]Mohamed Amine Ben Farah, M. Omar Al-Kadri, Yussuf Ahmed, Raouf Abouzariba, Xavier J. A. Bellekens:
Cyber Incident Scenarios in the Maritime Industry: Risk Assessment and Mitigation Strategies. CSR 2023: 194-199 - [c19]Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras:
Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. DBSec 2023: 339-357 - [c18]Sampath Rajapaksha, Janaka Senanayake, Harsha Kalutarage, M. Omar Al-Kadri:
Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis. ESORICS Workshops (2) 2023: 341-356 - [c17]Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, M. Omar Al-Kadri, Luca Piras:
FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. ESORICS Workshops (2) 2023: 426-441 - [c16]Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Luca Piras, Andrei Petrovski:
Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. SECRYPT 2023: 659-666 - 2022
- [c15]Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri:
Resource Efficient Federated Deep Learning for IoT Security Monitoring. ADIoT 2022: 122-142 - [c14]Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei V. Petrovski, Luca Piras:
Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning. AsiaCCS 2022: 1255-1257 - [c13]Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri:
A Robust Exploration Strategy in Reinforcement Learning Based on Temporal Difference Error. AI 2022: 789-799 - [c12]Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri:
Robust, Effective and Resource Efficient Deep Neural Network for Intrusion Detection in IoT Networks. CPSS@AsiaCCS 2022: 41-51 - [c11]Sampath Rajapaksha, Harsha K. Kalutarage, M. Omar Al-Kadri, Garikayi Madzudzo, Andrei V. Petrovski:
Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security. CyCom 2022: 309-330 - [c10]Sampath Rajapaksha, Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri:
AI-Powered Vulnerability Detection for Secure Source Code Development. SecITC 2022: 275-288 - [c9]Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri:
DQR: A Double Q Learning Multi Agent Routing Protocol for Wireless Medical Sensor Network. SecureComm 2022: 611-629 - 2021
- [j4]Muhammad Shadi Hajar, M. Omar Al-Kadri, Harsha Kumara Kalutarage:
A survey on wireless body area networks: architecture, security challenges and research opportunities. Comput. Secur. 104: 102211 (2021) - [c8]Idris Zakariyya, M. Omar Al-Kadri, Harsha K. Kalutarage:
Resource Efficient Boosting Method for IoT Security Monitoring. CCNC 2021: 1-6 - [c7]Idris Zakariyya, Harsha K. Kaluterage, M. Omar Al-Kadri:
Memory Efficient Federated Deep Learning for Intrusion Detection in IoT Networks. AI-Cybersec@SGAI 2021: 85-99 - [c6]Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri:
TrustMod: A Trust Management Module For NS-3 Simulator. TrustCom 2021: 51-60 - 2020
- [c5]Muhammad Shadi Hajar, M. Omar Al-Kadri, Harsha K. Kalutarage:
ETAREE: An Effective Trend-Aware Reputation Evaluation Engine for Wireless Medical Sensor Networks. CNS 2020: 1-9 - [c4]Muhammad Shadi Hajar, M. Omar Al-Kadri, Harsha K. Kalutarage:
LTMS: A Lightweight Trust Management System for Wireless Medical Sensor Networks. TrustCom 2020: 1783-1790
2010 – 2019
- 2019
- [j3]M. Omar Al-Kadri, Adnan Aijaz, Arumugam Nallanathan:
X-FDR: A Cross-Layer Routing Protocol for Multihop Full-Duplex Wireless Networks. IEEE Wirel. Commun. 26(2): 70-77 (2019) - [c3]Harsha Kumara Kalutarage, M. Omar Al-Kadri, Madeline Cheah, Garikayi Madzudzo:
Context-aware Anomaly Detector for Monitoring Cyber Attacks on Automotive CAN Bus. CSCS 2019: 7:1-7:8 - [c2]Idris Zakariyya, M. Omar Al-Kadri, Harsha K. Kalutarage, Andrei Petrovski:
Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. ICETE (2) 2019: 523-528 - 2018
- [i1]M. Omar Al-Kadri, Adnan Aijaz, Arumugam Nallanathan:
X-FDR: A Cross-Layer Routing Protocol for Multi-hop Full-Duplex Wireless Networks. CoRR abs/1806.01737 (2018) - 2017
- [j2]M. Omar Al-Kadri, Yansha Deng, Adnan Aijaz, Arumugam Nallanathan:
Full-Duplex Small Cells for Next Generation Heterogeneous Cellular Networks: A Case Study of Outage and Rate Coverage Analysis. IEEE Access 5: 8025-8038 (2017) - 2016
- [j1]M. Omar Al-Kadri, Adnan Aijaz, Arumugam Nallanathan:
An Energy-Efficient Full-Duplex MAC Protocol for Distributed Wireless Networks. IEEE Wirel. Commun. Lett. 5(1): 44-47 (2016) - [c1]M. Omar Al-Kadri, Yansha Deng, Arumugam Nallanathan:
Outage Probability of Heterogeneous Cellular Networks with Full-Duplex Small Cells. GLOBECOM 2016: 1-6
Coauthor Index
aka: Andrei V. Petrovski
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