Dr. Muhammad Salman Saeed

 

 

salman.saeed@giki.edu.pk

Dr. Muhammad Salman Saeed

Qualifications:

Ph.D. in Information Security, ITMO University, Saint Petersburg, Russia.

Research Interests: Cryptography, Network security, ML for cyber security, IOT Security, Computer Communication & Networks

 

Dr. Muhammad Salman Saeed completed his PhD in Information Security under the supervision of Prof. Sergey Valentinovich Bezzateev at ITMO University, Saint Petersburg, Russian Federation, where he was affiliated with the Laboratory of Cryptographic Methods of Information Security as a Research Associate.

Prior to his Ph.D., He earned an MS in Cyber Security with distinction from the Moscow Institute of Physics and Technology (MIPT) where his research focused on machine learning-based intrusion detection for cloud environments. During his master’s studies, he was awarded the Enhanced State Scholarship in the research category. Prior to his MS, he worked as a Network and System Administrator at Data Magnetics, Lahore. He earned his undergraduate degree in Telecommunication Engineering from Islamia University of Bahawalpur. A recipient of the Russian Government Scholarship for doctoral studies, he also distinguished himself as an international Olympiad winner in Physics. At GIKI, he teaches Computer Networks, Network Security, and Data Structures, and conducts research in the areas of IoT Security, Cryptography, and Autonomous Vehicle Security.

Peer Reviewed Journals

3

Selected Publications

  1. S. Saeed, S. Bezzateev, U. M. Andrabi and E. Wadood, “A survey on formal methods for authentication in self-driving platforms,” 2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), Cairo, Egypt, 2026, pp. 1–7.
  2. S. Saeed and S. V. Bezzateev, “A Privacy-Preserving Authentication Protocol for Secure Self-Driving Vehicles,” Journal of Communications, vol. 20, no. 6, pp. 765–772, 2025.
  3. S. Saeed and S. V. Bezzateev, “An improved authentication protocol for self-driving vehicles based on Diffie–Hellman algorithm,” Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2025, vol. 25, no. 4, pp. 755–761.
  4. S. Saeed, “Location privacy and security in SDVs: a ZKP-enhanced ECDDH based authentication framework,” Problems of Information Security. Computer Systems, 2025, No. 2, pp. 71–85.
  5. Saeed and S. Bezzateev, “A Formal Verification-Based Risk Assessment Framework for the Authentication of SDVs,” 2024 8th International Conference on Information, Control, and Communication Technologies (ICCT), Vladikavkaz, Russian Federation, 2024, pp. 1–5.
  6. S. Saeed, R. Saurabh, and A. N. Nazarov, “Machine Learning Based Intrusion Detection System in Cloud Environment,” 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT), 2022.

Patent

M. S. Saeed and S. V. Bezzateev, “LocAuth-SDV: Localization-Based Authentication System for Self-Driving Vehicles,” Russian Federation Patent No. 2025694968, registered 09 December