๐Ÿ”ฌ Research

Research Theme

My research focuses on applied cryptography and IoT security. As billions of embedded devices join the Internet of Things and interact with remote cloud infrastructures, they evolve into digital twins. I design and implement novel cryptographic protocols and security mechanisms that are simultaneously lightweight, resilient to side-channel and quantum attacks, directly deployable on devices ranging from low-end 8-bit microcontrollers to large-scale cloud servers.

Funded by: NSF DoE ARL Cisco Systems

๐Ÿ› ๏ธ Projects

Flagship security tools. Each project targets a specific security gap in IoT and embedded computing, with full implementations on real hardware and peer-reviewed publications.

๐Ÿ’Ž Diamond Under Review

End-to-end breach-resilient and compact authenticated encryption framework for IoT.

Authenticated Encryption Breach-Resilient IoT ARM / AVR
๐Ÿ“„ Under review at ACM TECS ยท IEEE MILCOM 2025

Hardware-Assisted Efficient Signature (HASES).

Digital Signature Post-Quantum Forward-Secure Intel SGX AVR
๐Ÿ“„ IEEE ICC 2023 ยท ACM TOMM 2024 ยท U.S. Patent US20230308289A1
โ˜๏ธ LRSHA Published

Lightweight and Resilient Signatures for Cloud-Assisted Embedded IoT.

Digital Signature Intel SGX AVR Cloud-Assisted
๐Ÿ“„ Wiley Security & Privacy 2026
โš›๏ธ LiteQSign Published

Lightweight post-quantum digital signature via Fully Homomorphic Encryption (FHE).

Digital Signature Post-Quantum FHE-based IoT
๐Ÿ“„ IEEE Access

A series of aggregate digital signatures for IoT audit trails.

Aggregate Digital Signatures GPU AVR Forensic Logging
๐Ÿ“„ ACM/IEEE IoTDI 2023 ยท ACM TIoT 2026 ยท U.S. Patent US20240007300A1
๐Ÿ“ก RF-PUF Authentication Published

An authentication protocol using additively manufactured RF with Physically Unclonable Functions.

RF Electronics PUF Wireless Security
๐Ÿ“„ IEEE Access

๐Ÿš€ Future Research Directions

๐ŸŒ

Post-Quantum Public-Key Infrastructures

๐Ÿค–

AI-Assisted Cryptographic Implementations

๐Ÿ›ก๏ธ

Zero-Trust & ZKPs for Edge Computing

๐Ÿ›ก๏ธ

Confidential AI Computing on the Edge