Publications

Indexed Journals

The following are the indexed journal publications, which are peer-reviewed articles by our research centre’s staff that appear in journals listed in recognized academic databases and indexing services.

2026
  1. Amin, M. I., Shen, M., Ishak, M. K., Manickam, S., & Karuppayah, S. (2026). Enhancing generalization of cross-domain intrusion detection: a heterogeneous deep stacked ensemble approach. Connection Science, 38(1), 2599708.
  2. Mohammed, H.J., Alogaili, R.R.N., Abdulkareem, K.H. et al. AEGIS-BCO: a federated graph–temporal intelligence framework with outcome-aware multi-criteria decision making for proactive cybersecurity against evolving DDoS threats. J Comput Virol Hack Tech 22, 46 (2026). https://doi.org/10.1007/s11416-026-00623-2 ↗
  3. Ansaf, Z. M., Salman, R. H., al-Mayyahi, M. A., Alwaeli, S. H., Rahim, M. S. M., & Manickam, S. (2026). ConformIDS: Adaptive Conformal Prediction for Uncertainty-aware Intrusion Detection in Internet of Medical Things Networks. International Journal of Intelligent Engineering & Systems, 19(8), 546.
  4. Nagasundaram, D., Ashraf, E., Manickam, S., Laghari, S.U.A., Karuppayah, S. Semantic interoperability in IoT for Industry 4.0: Review, taxonomy, challenges, and future research. Int. J. Inf. Commun. Technol. 15(2), 909–924 (2026). https://doi.org/10.11591/ijict.v15i2.pp909-924 ↗
  5. Fitri, M. S. K., Manickam, S., Ishak, M. K., & Karuppayah, S. (2026). A Comprehensive Survey of Techniques and Approaches in Detecting Phishing Websites.
  6. Wu, C. C., Manickam, S., Laghari, S. U. A., & Karuppayah, S. (2026). Design and Implementation of a Trust-Aware Fog Computing Simulation Framework Using WorkflowSim. International Journal of Advanced Computer Science and Applications, 17(4). https://doi.org/10.14569/IJACSA.2026.0170480 ↗
  7. Kusuma, R. S., Ashraf, E., Manickam, S., & Karuppayah, S. (2026). SENTISEC: Combining keyword heuristics and sentiment modeling for AI-powered threat detection. Turkish Journal of Electrical Engineering and Computer Sciences, 34(2), 164–184. https://doi.org/10.55730/1300-0632.4169 ↗
  8. Alassaf, N., Manickam, S., Odeh, A., & Anbar, M. (2026). Ultra-lightweight hybrid authentication for MQTT/MQTT-SN internet of thing security. Bulletin of Electrical Engineering and Informatics, 15(3), 2360–2372. https://doi.org/10.11591/eei.v15i3.11907 ↗
  9. Alassaf, N. M., Manickam, S., Odeh, A., & Anbar, M. (2026). Detecting anomalies in MQTT/MQTT-SN traffic using intelligent learning models. Bulletin of Electrical Engineering and Informatics, 15(3), 2758–2771. https://doi.org/10.11591/eei.v15i3.11889 ↗
  10. Abdulsattar, A. M. R., Alogaili, R. R. N., Al-Sudani, A. R., & Manickam, S. (2026). EMBER-based static malware detection: A critical review of accuracy, explainability, and temporal robustness trade-offs. Journal of Al-Farabi for Engineering Sciences, 5(1). https://doi.org/10.59746/asgg6t42 ↗
2025
  1. Al Ogaili, R. R. N., Raheem, O. A., Abdkhaleq, M. H. G., Alyasseri, Z. A. A., Alsaidi, S. A. A. A., Alsaeedi, A. H., ... & Manickam, S. (2025). AntDroidNet Cybersecurity Model: A Hybrid Integration of Ant Colony Optimization and Deep Neural Networks for Android Malware Detection. Mesopotamian Journal of Cybersecurity, 5(1), 104-120. DOI: 10.58496/MJCS/2025/008
  2. Nuiaa Al Ogaili, R. R., Mahdi, M. I., Neamah, A. F., Alradha Alsaidi, S. A. A., Alsaeedi, A. H., Dashoor, Z. A., & Manickam, S. (2025). PhishNetVAE Cybersecurity Approach: An Integrated Variational Autoencoder and Deep Neural Network Approach for Enhancing Cybersecurity Strategies by Detecting Phishing Attacks. International Journal of Intelligent Engineering & Systems, 18(3). DOI: 10.22266/ijies2025.0430.05
  3. M. M. Alsayyed, S. Manickam, E. R. N. Wulandari, I. D. M. Widia and S. Karuppayah, "A Review of Applicable Technologies, Routing Protocols, Requirements, and Architecture for Disaster Area Networks," in IEEE Access, vol. 13, pp. 91129-91160, 2025, doi: 10.1109/ACCESS.2025.3570733.
  4. Al-Shurbaji, T., Anbar, M., Manickam, S., Hasbullah, I. H., ALfriehate, N., Alabsi, B. A, "Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review," in IEEE Access, vol. 13, pp. 11792-11822, 2025, doi: 10.1109/ACCESS.2025.3526711
  5. Tasneem Qasem Al-Ghadi, Selvakumar Manickam, I. Dewa Made Widia, Eka Ratri Noor Wulandari, Shankar Karuppayah, Leveraging federated learning for DoS attack detection in IoT networks based on ensemble feature selection and deep learning models, Cyber Security and Applications, Volume 3, 2025, 100098, ISSN 2772-9184, doi: 10.1016/j.csa.2025.100098
  6. W. Chia Chuan, S. Ul Arfeen Laghari, S. Manickam, E. Ashraf and S. Karuppayah, "Challenges and Opportunities in Fog Computing Scheduling: A Literature Review," in IEEE Access, vol. 13, pp. 14702-14726, 2025, doi: 10.1109/ACCESS.2024.3525261
  7. Bahashwan, A. A., Anbar, M., Manickam, S., Al-Amiedy, T. A., & Hasbullah, I. H. (2025). A deep learning approach to detect DDoS flooding attacks on SDN controller. Indonesian Journal of Electrical Engineering and Computer Science, 38(2), 1245-1255, doi: 10.11591/ijeecs.v38.i2.pp1245-1255
2024
  1. Alfriehat, N., Anbar, M., Aladaileh, M., Hasbullah, I., Shurbaji, T. A., Karuppayah, S., & Almomani, A. (2024). RPL-based attack detection approaches in IoT networks: review and taxonomy. Artificial Intelligence Review, 57(9), 248. doi.org/10.1007/s10462-024-10907-y
2023
  1. Bahashwan, A. A., Anbar, M., Manickam, S., Al-Amiedy, T. A., Aladaileh, M. A., & Hasbullah, I. H. (2023). A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking. Sensors, 23(9), 4441. doi.org/10.3390/s23094441
  2. Al-Amiedy, T. A., Anbar, M., Belaton, B., Bahashwan, A. A., Hasbullah, I. H., Aladaileh, M. A., & Mukhaini, G. A. (2023). A systematic literature review on attacks defense mechanisms in RPL-based 6LoWPAN of Internet of Things. Internet of Things, 22, 100741. doi.org/10.1016/j.iot.2023.100741
2022
  1. Aladaileh, M. A., Anbar, M., Al-Amiedy, T. A., Hasbullah, I. H., & Alashhab, Z. R. (2022). A systematic literature review on machine learning and deep learning approaches for detecting attacks in RPL-based 6LoWPAN of Internet of Things. Sensors, 22(9), 3400. doi.org/10.3390/s22093400
  2. Al-Shareeda, M. A., Anbar, M., Manickam, S., & Hasbullah, I. H. (2022). Password-guessing attack-aware authentication scheme based on chinese remainder theorem for 5g-enabled vehicular networks. Applied Sciences, 12(3), 1383. doi.org/10.3390/app12031383

Non-Indexed Journals

The following are the non-indexed journal publications, which are scholarly articles authored by our research centre’s staff and published in journals not listed in major indexing databases but still contributing to academic discourse.

The following are the conference proceedings, which are published collections of papers and presentations delivered at academic or professional conferences, showcasing the contributions of our research centre’s staff over the years.

2025

  1. Y. A. Maz, M. Anbar, S. Manickam and M. M. Abualhaj, "Utilizing Deep Learning, Ensemble Learning, and Transfer Learning for Enhancing Security in Internet of Things Networks through Intrusion Detection Systems," 2025 12th International Conference on Information Technology (ICIT), Amman, Jordan, 2025, pp. 73-76, doi: 10.1109/ICIT64950.2025.11049182

2024

  1. Ibrahim, D. A., Khalid, S. K. A., & Fadzil, L. M. (2024, November). Accuracy and Execution Time Trade-off Analysis of VGG 16, ResNet-50, and YOLOv8 CNN Models for Face and Eye Detection. In 2024 1st International Conference on Cyber Security and Computing (CyberComp) (Vol. 1, pp. 33-39). IEEE, doi: 10.1109/CyberComp60759.2024.10913895

The following are the book chapters, which are scholarly writings contributed by our research centre’s staff and published as part of edited volumes or academic books over the years.

2026

Alassaf, N., Manickam, S., Odeh, A., Anbar, M., Aboshgifa, A., & Belhaj, N. (2026). Leveraging AI to Establish Cybersecurity Insurance Benchmarks and Guidelines: Standards in Cybersecurity Insurance. In AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience (pp. 111-150). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3373-5545-0.ch005 (Forthcoming: Available 07/31/2026)

2025

2024

Coming soon.

Q1 & Q2 WoS

Publications (2020-2025)

Book Chapters (2020-2025)

Proceedings (2020-2025)