Dr. Muhammad Asim

Faculty Member

Dr. Muhammad Asim

Professor

HEC Approved PhD Supervisor
(+9251 111 128 128) 3322
muhammad.asim@nu.edu.pk

Education

P.hD (Computer Science), Liverpool John Moore University, UK, 2010

MS (Computer Science), Liverpool University, UK, 2006

BS (Computer Science), University of Peshawar, 2004

Summary

Dr. Muhammad Asim is a Professor at the Department of Cyber Security, National University of Computer and Emerging Sciences, Pakistan. He obtained his Ph.D from Liverpool John Moores University in the area of wireless sensor networks management. Dr. Asim did his Master of Science in Computing from Liverpool University. He has over fifteen years’ experience in research and development within the field of Network Security, Cloud Security, Applied AI/ML, Internet of things Security, and Blockchain. He is actively involved in curriculum development at national level, serves on academic and institutional committees. His research is not only academically focused but worked on various research issues in collaboration with industrial partners such as SAP, THALES, SINTEF, CNR across the EU. Dr Asim has a well-established and promising research track, demonstrated with his wide international publications, conference papers and participation in various conference program committees and journal reviewing.

Publications

Journal Papers

  1. J. Hassan, M.Y. Raza, A. Sohail, M. Asim and Z. Pervez, An efficient and reliable mechanism for Wormhole detection in RPL based IoT networks. Computer Networks, 276, 2026
  2. N. Shamim, M. Asim, T. Baker, Z. Pervez, A.I. Awad, and A.Y. Zomaya. Integrating system calls and position-specific scoring for enhanced anomaly detection in Internet of Things environments. Computers & Security, p.104613, 2025
  3. N. Shamim, M. Asim, A. Awad AI, M.K. Khan. Anomaly Detection in Internet of Things System Calls Using a Centroid-Based Vector-Space Model. IEEE Internet of Things Journal. Vol 12 (14) , 2025.
  4. M. Asim, N. Tariq, A. Awad, F. Waheed, U. Ullah, G. Murtaza . SecT: A Zero-Trust Framework for Secure Remote Access in Next-Generation Industrial Networks. IEEE Journal on Selected Areas in Communications. 2025 Apr 11.
  5. A. Noor, N. Tariq, M. Asim,. et al. A fuzzy logic-based trust framework against sybil and rank attacks in cyber-physical systems. International Journal of Information Security. Vol 24 (196), 2025.
  6. S. Iram, T. Fernando, M. Asim, M. and H.M. Shakeel, H.M., Intelligent framework of sustainable cyber-physical services for autonomous manufacturing industries. Service Oriented Computing and Applications, pp.1-21, 2024.
  7. S. Afzal, M. Asim, M. O. Beg, T. Baker, A. Ismail Awad, N. Shamim, Context-aware embeddings for robust multiclass fraudulent URL detection in online social platforms, Computers and Electrical Engineering, Vol 119, 2024.
  8. N. Shamim, M. Asim, T. Baker, and A.I. Awad, 2023. "Efficient Approach for Anomaly Detection in IoT Using System Calls", Sensors, 23(2), p.652.
  9. D. Arshad, M. Asim, N. Tariq, T. Baker ,H. Tawfik ,D. Al-Jumeily. "THC-RPL: A lightweight Trust-enabled routing in RPL-based IoT networks against Sybil attack" PLoS ONE 17(7), 2022.
  10. U. Farooq, N. Tariq, M. Asim, T. Baker, and A. Al-Shamma'a. "Machine Learning and the Internet of Things Security: Solutions and Open Challenges." Journal of Parallel and Distributed Computing, 162, 89-104,2022
  11. T. Baker, M. Asim, H. Samwini, N. Shamim, "A blockchain-based Fog-oriented lightweight framework for smart public vehicular transportation systems" Computer Networks, 203 (2022).
  12. A. Nawaz, M.A. Tariq, M. Asim, Z. Maamar, and T. Baker. "Congestion avoidance in wireless sensor network using software defined network." Computing 103, no. 11 (2021): 2573-2596.
  13. A. R. Javed, R. Faheem, M. Asim, T. Baker, and M. O. Beg. "A smartphone sensors-based personalized human activity recognition system for sustainable smart cities." Sustainable Cities and Society 71 (2021): 102970.
  14. A. R. Javed, M. Usman Srwar, M. Omer Beg, M. Asim, T. Baker, H. Tawfik, A collaborative healthcare framework for shared healthcare plan with ambient intelligence, Human-centric Computing and Information Sciences, 10(1), 1-21, 2020
  15. M. Asad, M. Asim, T. Javed, M. Beg, et al, DeepDetect: Detection of Distributed Denial of Service Attacks Using Deep Learning, The Computer Journal, 2019, https://doi.org/10.1093/comjnl/bxz064
  16. T. Baker, M. Asim, “A New Energy-aware Service Composition Framework for Multi-cloud based Data-intensive Applications” Journal of Network and Computer Applications, 2017, No. 89, pp. 96-108
  17. E. Ugljanin, E. Kajan, Z. Maamar, M. Asim, V. Burégio, Immersing citizens and things into smart cities: a social machine-based and data artifact-driven approach,Computing (2020). https://doi.org/10.1007/s00607-019-00774-9.
  18. N. Abbas, M. Asim, N. Tariq, T. Baker, S. Abbas, A Mechanism for Securing IoT-enabled Applications at the Fog Layer, Journal of Sensor and Actuator Networks, 8 (1), 2019.
  19. ? M. Zakaria, E. Kajan, M. Asim, T. Baker, “Open Challenges in Vetting the Internet-of-Things”, Internet Technology Letters, p.e129, https://onlinelibrary.wiley.com/doi/pdf/10.1002/itl2.129
  20. M. Asim, A. Yautsiukhin, A. Brucker, “Security Policy Monitoring of BPMN-based Service Compositions” Journal of Software: Evolution and Process, 2018
  21. A. Rehman, O.beg, M. Asim, et.al, AlphaLogger: detecting motion-based side-channel attack using smartphone keystrokes, Journal of Ambient Intelligence and Humanized Computing (2020)
  22. T. Baker, M. Asim, A. MacDermott, et al, A secure fog-based platform for SCADA-based IoT critical infrastructure. Softw: PractExper. 2019;1–16. https://doi.org/10.1002/spe.2688
  23. N. Tariq, M. Asim, Z. Maamar, Z. Farooqi, N. Faci, T. Baker, A Mobile Code-driven Trust Mechanism for detecting internal attacks in sensor node-powered IoT, Journal of Parallel and Distributed Computing, 2019
  24. T. Baker, B. Aldawsari, M. Asim, H. Tawfik, Z. Maamar, Taj Buyya, Cloud-SEnergy: A Bin-Packing Based Multi-Cloud Service Broker for Energy Efficient Composition and Execution of Data-intensive Applications. Sustainable Computing : informatics and systems. ISSN 2210-5379 DOI: https://doi.org/10.1016/j.suscom.2018.05.011 (2018)
  25. S. Saeed, M. Asim, M. Baker, Z. Maamar, “A location-sensitive and network-aware broker for recommending Web services”. Computing 101(5), 2019, pp 455–475
  26. M. Al-khafajiy, T. Baker, M. Asim, Z. Guo, et al, COMITMENT: A Fog Computing Trust Management Approach, Journal of Parallel and Distributed Computing, 2019, https://doi.org/10.1016/j.jpdc.2019.10.006
  27. H. T. Javed, M. O.Beg, H. Mujtaba, H. Majeed, M. Asim, Fairness in Real-Time Energy Pricing for Smart Grid Using Unsupervised, in The Computer Journal, 2018, https://doi.org/10.1093/comjnl/bxy071
  28. A. Qamar, M. Asim, Z. Maamar, S. Saeed, and T. Baker, A Quality-of-Things model for assessing the Internet-of-Things nonfunctional properties,Transactions on Emerging Telecommunications Technologies (ETT), 2019
  29. U. Khalid, M. Asim, T. Baker, et. al, A decentralized lightweight blockchain-based authentication mechanism for IoT systems, Cluster Computing (2020)
  30. Z. Maamar, T. Baker, M. Sellami, M. Asim, E. Ugljanin, N. Faci, Cloud vs edge: Who serves the Internet-of-Things better? Internet Technology Letters 2018;1:e66. https://doi.org/10.1002/itl2.66 (ISI indexed)