Publications:

• Hintaw, A. J., Manickam, S., Aboalmaaly, M. F., & Karuppayah, S. (2023). MQTT vulnerabilities, attack vectors and solutions in the internet of things (IoT). IETE Journal of Research, 69(6), 3368-3397.
• Hintaw, A. J., Manickam, S., Karuppayah, S., Aladaileh, M. A., Aboalmaaly, M. F., & Laghari, S. U. A. (2023). A Robust Security Scheme Based on Enhanced Symmetric Algorithm for MQTT in the Internet of Things. IEEE Access.\
• Aladaileh, M. A., Anbar, M., Hintaw, A. J., Hasbullah, I. H., Bahashwan, A. A., Al-Amiedy, T. A., & Ibrahim, D. R. (2023). Effectiveness of an entropy-based approach for detecting low-and high-rate DDoS attacks against the SDN controller: Experimental analysis. Applied Sciences, 13(2), 775.
• Aladaileh, M. A., Anbar, M., Hintaw, A. J., Hasbullah, I. H., Bahashwan, A. A., & Al-Sarawi, S. (2022). Renyi joint entropy-based dynamic threshold approach to detect DDoS attacks against SDN controller with various traffic rates. Applied Sciences, 12(12), 6127.
• Hintaw, A. J., Manickam, S., Karuppayah, S., & Aboalmaaly, M. F. (2019). A Brief Review on MQTT’s Security Issues within the Internet of Things (IoT). J. Commun., 14(6), 463-469.
• Hintaw, Chukwa Ogbu Richard. (2019). Phishing as a Hazard to E-Business. International Journal of Computer and Internet Security, 4(2), 59-63.

Peer-reviewed papers

– Detection and Mitigation of DDoS Attacks on SDN Controller in IoT Network using Gini Impurity, Cluster Computing, Springer Nature, 2024.

– Hybrid Deep Learning and Dynamic Counter for Secure SDN-IoT Network for DDoS Attack Detection and Mitigation, Journal of Supercomputing, Springer Nature, 2024.

– DDoS Attack Detection in IoT Networks Using Deep Learning Models Combined with Random Forest as Feature Selector, ACeS 2020, Springer Nature, 2020.

– Evaluating File Cluster Classification based on Extreme Learning Machine Classifier and Content-based Feature Vectors, ACeS 2020, Springer Nature, 2020.

– Cybersecurity in Diabetic Contraptions with Boosted EHO Optimization, ACeS 2020, Springer Nature, 2020.

– Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems, ACeS 2021, Springer Nature, 2021.

– Threats on AI Machine Learning Technique by Data Poisoning Attack: A Survey, ACeS 2021, Springer Nature, 2021.

– Cascade Generalization based Functional Tree for Website Phishing Detection, ACeS 2021, Springer Nature, 2021.

– Being Lean-Green in the Pandemic Era: Will it impact the Sustainability Performance of the Public Higher Education Institution, ICL 2022, Supply chain management, 2022.

– IoT Enabled & Blockchain-Based Secure Delivery Tracking System: A Performance Check, ICL 2022, Supply chain management, 2022.

– How Supply Chain Resilience Supports Firm Performance in Face of Disruptions, ICL 2022, Supply chain management, 2022.

– Malaise detection using transfer learning, ICL 2022, Supply chain management, 2022.