Resilient Sensors for Measurement Assurance

ORAL

Abstract

Electronic sensors are transducers that measure environmental conditions, such as temperature, pressure, magnetic fields, acceleration, and electrical current. Autonomous systems use sensor information about surrounding conditions to make navigational and operational decisions in real-time using AI and Machine Learning algorithms. Sensors are subject to failure and accuracy drifts that have led to catastrophic results. A low-cost alternative to redundant sensors is presented that allows real-time detection of anomalous sensor data with low computational and electrical power. This alternative relies on the uniqueness within manufacturing tolerances of the sensor responses. A second low-cost uncalibrated sensor is used to monitor the performance of a higher-cost calibrated sensor. Differences between the sensors that exceed an initially measured threshold difference are flagged as an anomaly. Resilience can be added to the sensor system using arrays of sensors which allows the system to mask out faulty sensors. Larger arrays of sensors also allow for the generation of unique system identifiers which add security to data transmissions. A system architecture based on patented ideas and prototyped sensor systems is presented.

*Research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-23-2-0014. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.

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Publication: Bertrand Cambou, Julie B. Heynssens, Donald Telesca, and Shelton Jacinto; Enhancing System Resilience with Differential Sensor-Based PUFs; Patent 2023/0358579A1, November 2023.
Bertrand Cambou, Julie Heynssens, Gang Xiao; Resilient Magnetometer Systems with a Magneto-PUF; NAU Case 2023-028, Feb 2023.
Julie Heynssens, Lucas Caretta, Bertrand Cambou, Taylor Wilson, Jack Garrard, Mahafujul Alam, Ian Burke, Ruben Eduardo Montano Claure; Design of Physically Unclonable Function (PUF) with different paths of sensor devices that are randomly addressable; NAU Case 2024-009, September 2023.
Julie B. Heynssens, Jack Garrard, Ian Burke, Bertrand Cambou, "Current sensor fingerprint for real-time sensor failure detection and transceiver identification in autonomous systems controlled by Artificial Intelligence (AI), Proc. SPIE, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024; http://dx.doi.org/10.1117/12.3011855
Ruben Eduardo Montano Claure, Julie B. Heynssens, Ian Burke, Mahafujul Alam, Bertrand Cambou,, "Enhancing Cyber-Physical Systems (CPS) robustness through sensor pair health indicator. Proc. SPIE, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024
Julie B. Heynssens, Bertrand Cambou, Ruben Eduardo Montano Claure, "Security and robustness of AI-driven IOTs with differential sensing schemes," Proc. SPIE 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023, 1254008 (13 June 2023); https://doi.org/10.1117/12.2660903
Ruben Eduardo Montano Claure, Bertrand Cambou, 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

Presenters

  • Julie B Heynssens

    • Northern Arizona University

Authors

  • Julie B Heynssens

    • Northern Arizona University

  • Jack Garrard

    • Northern Arizona University

  • Ruben Eduardo Montano Claure

    • Northern Arizona University

  • Ian Burke

    • Northern Arizona University

  • Loren Larrieu

    • Northern Arizona University

  • Bertrand F Cambou

    • Northern Arizona University