Live Demonstration: Event-driven physical unclonable function for proactive monitoring system by dynamic vision sensor

Dynamic Vision Sensor (DVS) is a representative neuromorphic camera that responds to changes in luminosity due to movement in the scene. A fingerprinting scheme based on physical unclonable functions (PUF) is implemented to bind a DVS footage to its camera identity. This process is only triggered by incidents of interest to minimise computation. A transmission protocol based on the PUF is designed, alerting the server to any tampering attempts. In this demonstration, we use a DVS to capture a speeding incident simulated by a remote-controlled (RC) car. The baseline PUF database is obtained through a postlayout Monte Carlo simulation of the event-driven PUF. It will be embedded as a security provider in a Raspberry Pi 4 (RPi4), that serves as the DVS embedded system. Man-in-the-middle attacks will be simulated against the system.