Title | ||
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Live Demonstration: Event-driven physical unclonable function for proactive monitoring system by dynamic vision sensor |
Abstract | ||
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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 post-layout 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. |
Year | DOI | Venue |
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2021 | 10.1109/ISCAS51556.2021.9401681 | 2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) |
DocType | ISSN | Citations |
Conference | 0271-4302 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jian Xian Soo | 1 | 0 | 0.34 |
Yue Zheng | 2 | 70 | 10.70 |
Chip-Hong Chang | 3 | 1160 | 123.27 |