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Use of Thermistor Temperature Sensors for Cyber-Physical System Security

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...

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Detalles Bibliográficos
Autores principales: Labrado, Carson, Thapliyal, Himanshu, Prowell, Stacy, Kuruganti, Teja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767224/
https://www.ncbi.nlm.nih.gov/pubmed/31510093
http://dx.doi.org/10.3390/s19183905
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author Labrado, Carson
Thapliyal, Himanshu
Prowell, Stacy
Kuruganti, Teja
author_facet Labrado, Carson
Thapliyal, Himanshu
Prowell, Stacy
Kuruganti, Teja
author_sort Labrado, Carson
collection PubMed
description 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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spelling pubmed-67672242019-10-02 Use of Thermistor Temperature Sensors for Cyber-Physical System Security Labrado, Carson Thapliyal, Himanshu Prowell, Stacy Kuruganti, Teja Sensors (Basel) Article 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. MDPI 2019-09-10 /pmc/articles/PMC6767224/ /pubmed/31510093 http://dx.doi.org/10.3390/s19183905 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Labrado, Carson
Thapliyal, Himanshu
Prowell, Stacy
Kuruganti, Teja
Use of Thermistor Temperature Sensors for Cyber-Physical System Security
title Use of Thermistor Temperature Sensors for Cyber-Physical System Security
title_full Use of Thermistor Temperature Sensors for Cyber-Physical System Security
title_fullStr Use of Thermistor Temperature Sensors for Cyber-Physical System Security
title_full_unstemmed Use of Thermistor Temperature Sensors for Cyber-Physical System Security
title_short Use of Thermistor Temperature Sensors for Cyber-Physical System Security
title_sort use of thermistor temperature sensors for cyber-physical system security
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767224/
https://www.ncbi.nlm.nih.gov/pubmed/31510093
http://dx.doi.org/10.3390/s19183905
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