Research

Core Research Pillars:Engineering the "Bulletproof Engine."

Four problems the automotive industry cannot solve with software alone — and the hardware-rooted mathematics we're building to solve them.

01

Stateless Authentication (ZKP–PUF)

The Problem

Traditional PKI relies on digital keys stored in flash memory — vulnerable to physical probing and extraction the moment an attacker gets a chip off the board.

The Solution

We develop PUF-based ZKP handshake protocols that generate authentication witnesses on the fly. No secrets are stored; trust is derived directly from the silicon hardware itself.

Silicon PUF Lightweight ZKP Hardware-in-the-Loop (HIL)
02

Autonomous Rollback & State Integrity

The Problem

OTA updates in software-defined vehicles face critical "rollback" failures, often leaving vehicles in insecure or fully bricked states after a failed update.

The Solution

We are pioneering mathematical proofs of version integrity. Our protocols let a vehicle prove a successful, safe reversion to a "known-good-state" without massive cloud-side memory overhead.

Rollback Security Zonal Architecture Software-Defined Vehicles (SDV)
03

Post-Quantum & Side-Channel Resilience

The Problem

Quantum computers will eventually break RSA/ECC, and attackers are already using power analysis (side-channels) to leak secrets from today's automotive silicon.

The Solution

We research lattice-based ZKPs and side-channel hardening techniques optimized for resource-constrained zonal controllers, focused on NIST-standard PQC algorithms customized for automotive latency requirements.

PQC Side-Channel Analysis (SCA) NIST Optimization
04

Data Sovereignty & Sovereign Clouds

The Problem

Mobility data is currently siloed or exposed in centralized cloud architectures, creating single points of failure and raising sovereignty concerns as vehicles and their data cross jurisdictional borders.

The Solution

We design federated, sovereignty-aware architectures for Common Mobility Data Spaces, using cryptographic access control and privacy-preserving computation so that ownership and value of the data stay with its origin — not with whichever cloud happens to host it.

Common Mobility Data Spaces Federated Privacy Sovereign Cloud Architecture