Research

This page describes the core research themes, active projects, and impact areas that define my academic work.

Research focus

My work is centered on secure, privacy-aware systems for connected devices and cyber-physical infrastructure. The main areas are:

PUF-based hardware security for lightweight authentication and key management.
IoT and vehicular privacy through adaptive protections and secure communication.
AI-enabled security monitoring for anomaly detection with minimal overhead.
Trustworthy edge systems for reliable and resilient deployments.

Research focus on secure systems — Illustration of secure, privacy-aware systems for connected devices.

Why this matters

Connected systems are now embedded in everyday devices, vehicles, and infrastructure. This research aims to make those systems more trustworthy by combining hardware-rooted security with practical software and networking techniques.

### Research approach I follow a structured methodology: 1. Define realistic threat models and deployment constraints. 2. Develop secure hardware-software co-design solutions. 3. Prototype systems using representative devices and datasets. 4. Publish results with reproducible artifacts and open-source tools.

Selected projects

IoT Security Project

Secure firmware updates and lightweight authentication for constrained devices.

Vehicular Network Research

Privacy-preserving coordination for connected vehicles and edge networks.

Outcomes

Novel PUF-based schemes for secure device identity and authentication.
Publications on privacy and reliability in distributed IoT systems.
Demonstrators for secure connected mobility and autonomous sensing.

Gallery

Research Architecture Diagram

Architecture for secure edge analytics.

Research Lab Setup

Hardware prototyping and experimental evaluation.

Next steps

If you would like to learn more about related publications or collaborations, please explore the CV and contact sections.

Himani Sikarwar