IoT Security & Authentication
Novel authentication mechanisms using ECC over CoAP for constrained IoT devices.
Cybersecurity, IoT & AI
Research
Research interests center on secure connected systems, privacy-preserving AI, healthcare IoT, network technology, and machine learning for applied security problems.
AI & Machine Learning
Applied AI and ML for network security, anomaly detection, predictive modelling, and content safety workflows.
Healthcare IoT
Patient monitoring, real-time diagnostics, biomedical data, and smart healthcare delivery.
Network Technology
IPv6, topology design, protocol optimization, and scalable connected systems.
Federated Learning
Privacy-preserving distributed machine learning for healthcare and IoT data analysis.
Cybersecurity
Trust systems, content safety, risk workflows, and data-driven digital platform protection.
Selected Publications
Google ScholarIOT and Wearable Technology in Patient Monitoring: Business Analytics Applications for Real-Time Health Management
The American Journal of Engineering and Technology.
Leveraging Artificial Intelligence for Strategic Decision-Making in Healthcare Organizations
A business IT perspective on healthcare decision support and AI-enabled operations.
An Adaptive Privacy Preserving Framework for Distributed Association Rule Mining in Healthcare Databases
Privacy-preserving analytics for distributed healthcare data.
Enhanced Lightweight and Robust Authentication Mechanism for Internet of Things Environment
Lightweight authentication for constrained IoT networks.
Reliable and Secure Traffic Exchange Approach for Internet of Things Devices
ECC over CoAP for secure data exchange across IoT systems.
A Novel Method of Preprocessing and Evaluating the KDD CUP 99 Data Set
Network intrusion detection preprocessing and evaluation.
A Review on Internet of Things in Healthcare
Review of IoT healthcare usage and secure architecture considerations.