Fingerprint enrollment using differential sensor amplifier circuitry for cyber-physical systems

Ruben Eduardo Montano Claure; Bertrand Cambou; Julie B. Heynssens

doi:10.1117/12.2662848

13 June 2023 Fingerprint enrollment using differential sensor amplifier circuitry for cyber-physical systems

Ruben Eduardo Montano Claure, Bertrand Cambou, Julie B. Heynssens

Proceedings Volume 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023; 125400A (2023) https://doi.org/10.1117/12.2662848
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Physically Unclonable Functions (PUFs) are a crucial part of enhancing the security of Internet of Things (IoT) devices and Cyber-Physical Systems (CPS). These devices play a significant role in numerous infrastructure systems including healthcare, business, industry, etc. Such devices typically have the least amount of storage, processing and energy; which causes them to be the weakest component in the security of the system. The CPS is an innovative paradigm that aims to bring together the physical and digital worlds that comprise today’s environment. We propose methods to use pairs of vital sensors and differential amplifier circuitry to derive fingerprints in real time for a CPS. A custom Printed Circuit Board (PCB) used as an Arduino shield, a stepper motor and 3D designs for the test fixture are key components in collecting data from the analog samples that are being used for the enrollment of the sensor based-fingerprint. The output of the differential amplifier circuitry at the various sensors’ orientations will be stored by a server and used as an authentication of the CPS and in determining the health of the sensor in the CPS. We examine the data obtained from two different sensor-pairs and evaluate its reliability and uniqueness using Hamming distance.

Conference Presentation

Citation Download Citation

Ruben Eduardo Montano Claure, Bertrand Cambou, and Julie B. Heynssens "Fingerprint enrollment using differential sensor amplifier circuitry for cyber-physical systems", Proc. SPIE 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023, 125400A (13 June 2023); https://doi.org/10.1117/12.2662848

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