Research Direction
Cybersecurity risk intelligence for distributed IoT systems.
This research examines how intelligent models can detect, assess, and prioritize cyber risk across IoT, fog, edge, and cloud environments. The work supports real-time risk awareness for connected systems where privacy, reliability, and trust are essential.
Research Themes
- Threat detection for distributed cyber-physical systems
- Privacy-aware monitoring and secure data exchange
- Risk modeling for IoT, fog, and cloud infrastructures
- Decision support for resilient connected environments