Research
Security and reliability for connected systems
My research studies how connected systems can remain secure, auditable, and resilient when they combine constrained devices, distributed infrastructure, storage layers, and emerging AI-assisted workflows.
Research Overview
I work on problems at the boundary between systems security and real-world connected infrastructure. This includes trusted hardware, storage behavior, decentralized storage protocols, embedded and edge devices, and AI/ML-assisted methods for understanding malicious behavior.
The goal is to design mechanisms that are practical enough for deployment constraints while remaining clear about their assumptions, threat models, and limitations.
Research Themes
Trusted hardware
Distributed and decentralized storage
IoT, embedded, edge, and connected systems
File systems and flash-storage behavior
LLM-assisted security and safety
Current Direction
My current direction connects decentralized storage, authenticated behavior at lower system layers, trusted execution environments, and AI-assisted security analysis. I am especially interested in security mechanisms that reduce expensive coordination while preserving useful evidence about system behavior.
Selected Problems
- How can distributed storage systems reduce audit cost without weakening integrity guarantees?
- How can storage-stack behavior provide trustworthy signals for higher-level security decisions?
- How should trusted hardware be used carefully in systems that still need practical failure recovery?
- How can LLM-assisted tools help identify unsafe behavior without overstating their reliability?