Dr Faisal Albalwy

Assistant Professor of Cybersecurity

fbalwy@taibahu.edu.sa

Department of Cybersecurity
College of Computer Science and Engineering
Taibah University
Prince Nayef Road, Madinah 42353, Saudi Arabia

645 citationsh-index 11i10-index 12Updated 5 Sept 2026

Academic profile

My research advances trustworthy and resilient digital systems through privacy-preserving data technologies, secure distributed infrastructures, and intelligent cyber-threat detection.

Academic affiliations

Assistant Professor of Cybersecurity

Department of Cybersecurity, College of Computer Science and Engineering

Taibah University, Madinah, Saudi Arabia

Education and qualifications

  1. PhD in Computer Science

    The University of Manchester, United Kingdom

    Study period: 2017–2021 · Awarded 14 April 2022

  2. MSc in Advanced Computer Science

    The University of Manchester, United Kingdom

    Specialisation: Computer Security · 2013

  3. BSc in Computer Science

    Taibah University, Saudi Arabia

    2009

External positions

Honorary Research Fellow

School of Health Sciences, The University of Manchester, United Kingdom

Former appointment · Appointed 2021

Research interests

  • Privacy-preserving health-data sharing
  • Blockchain security and interoperability
  • Machine learning for cyber-threat detection

Prospective research students

I welcome motivated students and researchers whose interests overlap with my work. If you are exploring research opportunities, wish to discuss collaboration, or are considering possible supervision pathways at Taibah University or in a suitable external academic context, please introduce yourself by email and share a brief description of your background and interests.

fbalwy@taibahu.edu.sa

Publications

ORCID-linked catalogue · Verified 19 August 2026

Listed newest first in a traditional citation format. Select the DOI to open the paper. Each journal badge shows one best verified quartile from JCR (Web of Science), CiteScore (Scopus), or SJR (SCImago), with its source, category, and year. Rankings describe journals, not the quality of individual papers.

Journal articles

  1. Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Nouf Abdullah Almujally, Weixiang Liu, Faisal Albalwy, & Amir Hussain (2026). Hierarchical federated learning with paillier encryption: synergistic approach for secure analytics of sensitive healthcare data. Expert Systems with Applications, 330, 132969. https://doi.org/10.1016/j.eswa.2026.132969

  2. Faisal Albalwy (2026). Zero-Knowledge-Based Policy Enforcement for Privacy-Preserving Cross-Institutional Health Data Sharing on Blockchain. Systems, 14(4), 385. https://doi.org/10.3390/systems14040385

  3. Faisal Albalwy & Muhannad Almohaimeed (2026). Bridging AI and Cyber Defense: A Stacked Ensemble Deep Learning Model with Explainable Insights. Computers, Materials & Continua, 87(2), 23. https://doi.org/10.32604/cmc.2025.075098

  4. Abdulrahman Alzahrani, Amin Noaman, Ahmed A.A. Gad-Elrab, Fathy Eassa, Maher Khemakhem, Faisal Albalwy, & Hosam Aljihani (2025). Design and implementation of a decentralized trustless data standardization framework for blockchain interoperability using smart contracts. Alexandria Engineering Journal, 129, 168-191. https://doi.org/10.1016/j.aej.2025.06.011

  5. Muhannad Almohaimeed, Faisal Albalwy, Leinah Algulaiti, & Hanan Althubyani (2025). Phishing URL Detection Using Deep Learning: A Resilient Approach to Mitigating Emerging Cybersecurity Threats. Ingénierie des Systèmes d’Information, 30(5), 1219-1227. https://doi.org/10.18280/isi.300510

  6. Hamad Alrashede, Fathy Eassa, Abdullah Marish Ali, Hosam Aljihani, & Faisal Albalwy (2025). Enhancing east-west interface security in heterogeneous SDN via blockchain. PeerJ Computer Science, 11, e2914. https://doi.org/10.7717/peerj-cs.2914

  7. Faisal Albalwy & Muhannad Almohaimeed (2025). Advancing Artificial Intelligence of Things Security: Integrating Feature Selection and Deep Learning for Real-Time Intrusion Detection. Systems, 13(4), 231. https://doi.org/10.3390/systems13040231

  8. Abdulrahman A. Alzahrani, Amin Y. Noaman, Ahmed A A. Gad-Elrab, Fathy E. Eassa, Maher Khemakhem, Faisal Albalwy, & Hosam Aljihani (2025). A Comprehensive Review of Interoperability Challenges and Applications Beyond Cryptocurrencies. Advances in Artificial Intelligence and Machine Learning, 5(1), 3373-3388. https://doi.org/10.54364/aaiml.2025.51193

  9. Tahani Albalawi, Perumal Ganeshkumar, & Faisal Albalwy (2025). Strategic Network Attack Prevention System Leveraging Sophisticated Query-Based Network Attention Algorithm (QNAA) and Self-Perpetuating Generative Adversarial Network (SPF-GAN) Techniques for Optimal Detection. Electronics, 14(5), 922. https://doi.org/10.3390/electronics14050922

  10. Muhannad Almohaimeed & Faisal Albalwy (2024). Enhancing IoT Network Security Using Feature Selection for Intrusion Detection Systems. Applied Sciences, 14(24), 11966. https://doi.org/10.3390/app142411966

  11. Hamad Alrashede, Fathy Eassa, Abdullah Marish Ali, Faisal Albalwy, & Hosam Aljihani (2024). A Blockchain-Based Security Framework for East-West Interface of SDN. Electronics, 13(19), 3799. https://doi.org/10.3390/electronics13193799

  12. Abdulrahman Alqarafi, Arfat Ahmad Khan, Rakesh Kumar Mahendran, Mohammed Al-Sarem, & Faisal Albalwy (2024). Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention mechanism. Biomedical Signal Processing and Control, 95(Part A), 106313. https://doi.org/10.1016/j.bspc.2024.106313

  13. Razia Sulthana A, Vinay Chamola, Zain Hussain, Faisal Albalwy, & Amir Hussain (2024). A novel end-to-end deep convolutional neural network based skin lesion classification framework. Expert Systems with Applications, 246, 123056. https://doi.org/10.1016/j.eswa.2023.123056

  14. Ali Hussein Ali, Maha Charfeddine, Boudour Ammar, Bassem Ben Hamed, Faisal Albalwy, Abdulrahman Alqarafi, & Amir Hussain (2024). Unveiling machine learning strategies and considerations in intrusion detection systems: a comprehensive survey. Frontiers in Computer Science, 6, 1387354. https://doi.org/10.3389/fcomp.2024.1387354

  15. Pragati Tripathi, M.A. Ansari, Tapan Kumar Gandhi, Faisal Albalwy, Rajat Mehrotra, & Deepak Mishra (2024). Computational ensemble expert system classification for the recognition of bruxism using physiological signals. Heliyon, 10(4), e25958. https://doi.org/10.1016/j.heliyon.2024.e25958

  16. Norah Alsaeed, Farrukh Nadeem, & Faisal Albalwy (2024). A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing. Future Generation Computer Systems, 151, 162-181. https://doi.org/10.1016/j.future.2023.09.032

  17. Amal Albilali, Maysoon Abulkhair, Manal Bayousef, & Faisal Albalwy (2024). A Blockchain-Based Privacy Protection Model Under Quality Consideration in Spatial Crowdsourcing Platforms. IEEE Access, 12, 191695-191718. https://doi.org/10.1109/access.2024.3518973

  18. Nasrin Elhassan, Giuseppe Varone, Rami Ahmed, Mandar Gogate, Kia Dashtipour, Hani Almoamari, Mohammed A. El-Affendi, Bassam Naji Al-Tamimi, Faisal Albalwy, & Amir Hussain (2023). Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning. Computers, 12(6), 126. https://doi.org/10.3390/computers12060126

  19. Abdullah Algarni, Abdulaziz Attaallah, Fathi Eassa, Maher Khemakhem, Kamal Jambi, Hosam Aljihani, Khalid Almarhabi, & Faisal Albalwy (2023). A security testing mechanism for detecting attacks in distributed software applications using blockchain. PLOS ONE, 18(1), e0280038. https://doi.org/10.1371/journal.pone.0280038

  20. F. Albalwy, J. H. McDermott, W. G. Newman, A. Brass, & A. Davies (2022). A blockchain-based framework to support pharmacogenetic data sharing. The Pharmacogenomics Journal, 22(5-6), 264-275. https://doi.org/10.1038/s41397-022-00285-5

  21. Kahlid S. Alqarni, Faris A. Almalki, Ben Othman Soufiene, Obaid Ali, & Faisal Albalwy (2022). Authenticated Wireless Links between a Drone and Sensors Using a Blockchain: Case of Smart Farming. Wireless Communications and Mobile Computing, 2022(1), 4389729. https://doi.org/10.1155/2022/4389729

  22. Faisal Albalwy, Andrew Brass, & Angela Davies (2021). A Blockchain-Based Dynamic Consent Architecture to Support Clinical Genomic Data Sharing (ConsentChain): Proof-of-Concept Study. JMIR Medical Informatics, 9(11), e27816. https://doi.org/10.2196/27816

Courses taught

  • Algorithms and Data Structures
  • Compiler Construction
  • Computer Programming
  • Computer Security
  • Computer Skills
  • Cryptography
  • Cybersecurity Design Principles
  • Cybersecurity Fundamentals
  • Field Training
  • Graduation Project I
  • Graduation Project II
  • Information Technology Systems Components
  • Introduction to Computing
  • Programming I
  • Research Project
  • Research Seminar
  • Selected Topics
  • Software Engineering
  • Theory of Computation

Work experience

  • In 2023, Taibah University appointed Faisal Albalwy as Deputy CEO for Business Development at Wadi Taibah Company for a one-year term.
  • In 2024, Taibah University appointed him as CEO of Wadi Taibah Company for a one-year term.
  • In 2025, a Taibah University decision renewed the CEO appointment for a further one-year term.

University committee service

  • Chair, Timetabling, Examinations, Academic Advising and Student Welfare Committee, Department of Cybersecurity.
  • Member, Scholarships and Human Resources Committee, Department of Cybersecurity.
  • Member for Field Training, Graduation Projects and Field Training Committee, Department of Cybersecurity.
  • Member for Human Resources, Scholarships and Human Resources Committee, Department of Computer Science.
  • Member for Timetabling, Timetabling and Examinations Committee, Department of Computer Science.

Scholarly peer review

Verified record · ORCID sync enabled

  • Reviewer for the 2nd IEEE International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics, held 12–14 February 2026.
  • 45 reviews for MDPI journals during 2025–2026, as recorded by the issuer on 14 August 2026.
  • 22 reviews for Expert Systems with Applications between October 2023 and July 2025.
  • 28 reviews for Future Generation Computer Systems between November 2023 and June 2025.
  • Five reviews for the Journal of Information Security and Applications between April and May 2025.