Deep learning and big data technologies for IoT security. - Mohamed Ahzam Amanullah; Riyaz Ahamed Ariyaluran Habeeb; Fariza Hanum Nasaruddin; Abdullah Gani; Ejaz Ahmed 003; Abdul Salam Mohamed Nainar; Nazihah Md. Akim; Muhammad Imran 001 (Comput. Commun., 2020)

BurST-ADMA: Towards an Australian Dataset for Misbehaviour Detection in the Internet of Vehicles. - Mohamed Ahzam Amanullah; Mohan Baruwal Chhetri; Seng W. Loke; Robin Doss (PerCom Workshops, 2022)

Clustering-based real-time anomaly detection - A breakthrough in big data technologies. - Riyaz Ahamed Ariyaluran Habeeb; Fariza Nasaruddin; Abdullah Gani; Mohamed Ahzam Amanullah; Ibrahim Abaker Targio Hashem; Ejaz Ahmed 003; Muhammad Imran 001 (Trans. Emerg. Telecommun. Technol., 2022)

Edge computing-enabled secure and energy-efficient smart parking: A review. - Cheng Pin Lee; Fabian Tee Jee Leng; Riyaz Ahamed Ariyaluran Habeeb; Mohamed Ahzam Amanullah; Muhammad Habib Ur Rehman (Microprocess. Microsystems, 2022)

Secure Data Provenance in Internet of Vehicles with Data Plausibility for Security and Trust. - Anuj Nepal; Mohamed Ahzam Amanullah; Robin Doss; Frank Jiang 001 (AIIoT, 2024)

IntelliMD: A Hybrid Approach for Local Misbehaviour Detection in Cooperative Intelligent Transport Systems. - Mohamed Ahzam Amanullah; Mohan Baruwal Chhetri; Seng W. Loke; Robin Doss (CPSIOTSEC@CCS, 2024)

A Taxonomy and Analysis of Misbehaviour Detection in Cooperative Intelligent Transport Systems: A Systematic Review. - Mohamed Ahzam Amanullah; Seng W. Loke; Mohan Baruwal Chhetri; Robin Doss (ACM Comput. Surv., 2024)