Use of Thermistor Temperature Sensors for Cyber-Physical System Security

Labrado, Carson; Thapliyal, Himanshu; Prowell, Stacy; Kuruganti, Teja

doi:10.3390/s19183905

Title: Use of Thermistor Temperature Sensors for Cyber-Physical System Security

Journal Article · Tue Sep 10 00:00:00 EDT 2019 · Sensors

DOI:https://doi.org/10.3390/s19183905· OSTI ID:1659635

Labrado, Carson ^[1];

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Univ. of Kentucky, Lexington, KY (United States). Dept. of Electrical and Computer Engineering
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Cyber and Applied Data Analytics Division
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Sciences and Engineering Division

The last few decades have seen a large proliferation in the prevalence of cyber-physical systems. This has been especially highlighted by the explosive growth in the number of Internet of Things (IoT) devices. Unfortunately, the increasing prevalence of these devices has begun to draw the attention of malicious entities which exploit them for their own gain. What makes these devices especially attractive is the various resource constraints present in these devices that make it difficult to add standard security features. Therefore, one intriguing research direction is creating security solutions out of already present components such as sensors. Physically Unclonable Functions (PUFs) are one potential solution that use intrinsic variations of the device manufacturing process for provisioning security. In this work, we propose a novel weak PUF design using thermistor temperature sensors. Our design uses the differences in resistance variation between thermistors in response to temperature change. To generate a PUF that is reliable across a range of temperatures, we use a response-generation algorithm that helps mitigate the effects of temperature variation on the thermistors. We tested the performance of our proposed design across a range of environmental operating conditions. From this we were able to evaluate the reliability of the proposed PUF with respect to variations in temperature and humidity. We also evaluated the PUF’s uniqueness using Monte Carlo simulations.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1659635

Journal Information:: Sensors, Vol. 19, Issue 18; ISSN 1424-8220

Publisher:: MDPI AGCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 8 works

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References (23)

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