Research
Published Papers
R. Islam, R. U. D. Refat, S. M. Yerram and H. Malik, "Graph-Based Intrusion Detection System for Controller Area Networks," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.3025685. [IF 9.551]
Islam, R., Refat, R.U.D. Improving CAN bus security by assigning dynamic arbitration IDs. J Transp Secur 13, 19–31 (2020). https://doi.org/10.1007/s12198-020-00208-0. [IF 0.94]
Refat R.U.D., Elkhail A.A., Hafeez A., Malik H. (2022) Detecting CAN Bus Intrusion by Applying Machine Learning Method to Graph Based Features. In: Arai K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-030-82199-9_49.
A. A. Elkhail, R. U. D. Refat, R. Habre, A. Hafeez, A. Bacha and H. Malik, "Vehicle Security: A Survey of Security Issues and Vulnerabilities, Malware Attacks and Defenses," in IEEE Access, vol. 9, pp. 162401-162437, 2021, doi: 10.1109/ACCESS.2021.3130495.
Refat, R. U. D., Elkhail, A. A., & Malik, H. (2022, March). A lightweight intrusion detection system for can protocol using neighborhood similarity. In 2022 7th International Conference on Data Science and Machine Learning Applications (CDMA) (pp. 121-126). IEEE.
Refat, R. U. D., Elkhail, A. A., & Malik, H. (2022). Machine Learning for Automotive Cybersecurity: Challenges, Opportunities and Future Directions. AI-enabled Technologies for Autonomous and Connected Vehicles, 547-567.
Bellaire, S., Bayer, M., Hafeez, A., Refat, R.U.D. and Malik, H., 2022, September. Fingerprinting ECUs to Implement Vehicular Security for Passenger Safety Using Machine Learning Techniques. In Intelligent Systems and Applications: Proceedings of the 2022 Intelligent Systems Conference (IntelliSys) Volume 3 (pp. 16-32). Cham: Springer International Publishing.
Hassani, A., El Shair, Z., Refat, R.U.D. and Malik, H., 2022, October. Distilling Facial Knowledge with Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition. In 2022 IEEE International Conference on Image Processing (ICIP) (pp. 741-745). IEEE.