Dr. Subhan Ullah

Faculty Member

Dr. Subhan Ullah

Associate Professor

HEC Approved PhD Supervisor
(+9251 111 128 128) 3323
subhan.ullah@nu.edu.pk

Education

Ph.D (Computer Science/IT), University of Klagenfurt, Austria and University of Genoa, Italy, 2019

Joint International Master (CS), University of Applied Sciences, Germany, 2014

MS (Computer Science), International Islamic University, 2013

BS (Computer Science), University of Malakand, 2008

Summary

Dr. Subhan Ullah is an Associate Professor in the Department of Cybersecurity at the FAST School of Computing, FAST National University of Computer and Emerging Sciences (FAST-NUCES), Islamabad, Pakistan. He earned his Ph.D. in Computer Science/IT in April 2019 from the University of Klagenfurt, Austria, in collaboration with the University of Genoa, Italy, under the prestigious Erasmus Mundus Joint Doctorate Program for Interactive and Cognitive Environments (EMJD-ICE). As a recipient of the European Union IDEAS scholarship, Dr. Subhan also completed two semesters of the Joint International Master (JIM) in Computer Science at the University of Applied Sciences, Darmstadt, Germany, in December 2014. He holds an MS in Computer Science from the International Islamic University Islamabad (March 2013) and a BS in Computer Science from the University of Malakand, Pakistan (August 2008). His current research interest include lightweight cryptographic solutions for data security and ML based techniques for intrusion detection in cloud and Internet of Things (IoT) applications. Taught Courses: Ph.D. Level courses/modules: 1- Research topics in Cloud Computing Postgraduate (PG) Level courses/modules: 1- Securing the Internet of Things 2- Advanced Computer Networks 3- Securing Cloud Computing Undergraduate (UG) Level Courses/modules: 1- Computer Networks 2- Cloud Computing 3- Programming Fundamentals 4- Object-Oriented Programming 5- Data Structures 6- Discrete Structures

Publications

Journal Papers

  1. Khan, M.A., Ullah, S., Ahmad, T., Jawad, K., Buriro, A., Enhancing Security and Privacy in Healthcare Systems Using a Lightweight RFID Protocol., Sensors 2023, 23, 5518
  2. M. A. Mughal, X. Luo, A. Ullah, S. Ullah and Z. Mahmood, A Lightweight Digital Signature Based Security Scheme for Human-Centered IoT, IEEE Access, vol. 6, pp. 31630-31643, 2018
  3. Asghar, I., Khan, M.A., Ahmad, T., Ullah, S., Mansoor ul Hassan, K., Buriro, A., Fortifying Smart Home Security: A Robust and Efficient User-Authentication Scheme to Counter Node Capture Attacks, Sensors, 2023, 23, 7268
  4. Aslam, M., Khan Abbasi, M. A., Khalid, T., Shan, R. U., Ullah, S., Ahmad, T.,, Getting Smarter about Smart Cities: Improving Data Security and Privacy through Compliance, Sensors, 2022(23), 9338.
  5. Khan Abbasi, M.H., Ullah, S., Ahmad, T., Buriro, A., A Real-Time Hybrid Approach to Combat In-Browser Cryptojacking Malware. , Appl. Sci. 2023, 13, 2039
  6. Ullah, S., Mahmood, Z., Ali, N., Ahmad, T., Buriro, A., Machine Learning-Based Dynamic Attribute Selection Technique for DDoS Attack Classification in IoT Networks., Computers 2023, 12, 115

Conference Papers

  1. S. Ullah, F. Russo, L. Marcenaro and B. Rinner, Aggregate-signcryption for securing smart camera IoT applications, in Proc. IEEE GIoTS, June 2018, pp. 1–6