A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes

Security is essential in sensor nodes which acquire and transmit sensitive data. However, the constraints of processing, memory and power consumption are very high in these nodes. Cryptographic algorithms based on symmetric key are very suitable for them. The drawback is that secure storage of secre...

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Detalles Bibliográficos
Autores: Arjona, Rosario, Prada Delgado, Miguel Ángel, Arcenegui Almenara, Javier, Baturone Castillo, María Iluminada
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/87145
Acceso en línea:https://hdl.handle.net/11441/87145
https://doi.org/10.3390/s18082429
Access Level:acceso abierto
Palabra clave:Fingerprint recognition
Lightweight biometrics
Low-power microcontrollers
Multibiometrics
Physically unclonable functions (PUFS)
Security for sensor networks
SRAM PUFS
Trusted sensor nodes
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spelling A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodesArjona, RosarioPrada Delgado, Miguel ÁngelArcenegui Almenara, JavierBaturone Castillo, María IluminadaFingerprint recognitionLightweight biometricsLow-power microcontrollersMultibiometricsPhysically unclonable functions (PUFS)Security for sensor networksSRAM PUFSTrusted sensor nodesSecurity is essential in sensor nodes which acquire and transmit sensitive data. However, the constraints of processing, memory and power consumption are very high in these nodes. Cryptographic algorithms based on symmetric key are very suitable for them. The drawback is that secure storage of secret keys is required. In this work, a low-cost solution is presented to obfuscate secret keys with Physically Unclonable Functions (PUFs), which exploit the hardware identity of the node. In addition, a lightweight fingerprint recognition solution is proposed, which can be implemented in low-cost sensor nodes. Since biometric data of individuals are sensitive, they are also obfuscated with PUFs. Both solutions allow authenticating the origin of the sensed data with a proposed dual-factor authentication protocol. One factor is the unique physical identity of the trusted sensor node that measures them. The other factor is the physical presence of the legitimate individual in charge of authorizing their transmission. Experimental results are included to prove how the proposed PUF-based solution can be implemented with the SRAMs of commercial Bluetooth Low Energy (BLE) chips which belong to the communication module of the sensor node. Implementation results show how the proposed fingerprint recognition based on the novel texture-based feature named QFingerMap16 (QFM) can be implemented fully inside a low-cost sensor node. Robustness, security and privacy issues at the proposed sensor nodes are discussed and analyzed with experimental results from PUFs and fingerprints taken from public and standard databases.Ministerio de Economía, Industria y Competitividad TEC2014-57971-R, TEC2017-83557-RMultidisciplinary Digital Publishing Institute (MDPI)Electrónica y Electromagnetismo2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/87145https://doi.org/10.3390/s18082429reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésSensors, 18 (8), 2429-1-2429-25.TEC2014-57971-RTEC2017-83557-Rhttp://dx.doi.org/10.3390/s18082429info:eu-repo/semantics/openAccessoai:idus.us.es:11441/871452026-06-17T12:51:07Z
dc.title.none.fl_str_mv A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
title A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
spellingShingle A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
Arjona, Rosario
Fingerprint recognition
Lightweight biometrics
Low-power microcontrollers
Multibiometrics
Physically unclonable functions (PUFS)
Security for sensor networks
SRAM PUFS
Trusted sensor nodes
title_short A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
title_full A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
title_fullStr A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
title_full_unstemmed A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
title_sort A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
dc.creator.none.fl_str_mv Arjona, Rosario
Prada Delgado, Miguel Ángel
Arcenegui Almenara, Javier
Baturone Castillo, María Iluminada
author Arjona, Rosario
author_facet Arjona, Rosario
Prada Delgado, Miguel Ángel
Arcenegui Almenara, Javier
Baturone Castillo, María Iluminada
author_role author
author2 Prada Delgado, Miguel Ángel
Arcenegui Almenara, Javier
Baturone Castillo, María Iluminada
author2_role author
author
author
dc.contributor.none.fl_str_mv Electrónica y Electromagnetismo
dc.subject.none.fl_str_mv Fingerprint recognition
Lightweight biometrics
Low-power microcontrollers
Multibiometrics
Physically unclonable functions (PUFS)
Security for sensor networks
SRAM PUFS
Trusted sensor nodes
topic Fingerprint recognition
Lightweight biometrics
Low-power microcontrollers
Multibiometrics
Physically unclonable functions (PUFS)
Security for sensor networks
SRAM PUFS
Trusted sensor nodes
description Security is essential in sensor nodes which acquire and transmit sensitive data. However, the constraints of processing, memory and power consumption are very high in these nodes. Cryptographic algorithms based on symmetric key are very suitable for them. The drawback is that secure storage of secret keys is required. In this work, a low-cost solution is presented to obfuscate secret keys with Physically Unclonable Functions (PUFs), which exploit the hardware identity of the node. In addition, a lightweight fingerprint recognition solution is proposed, which can be implemented in low-cost sensor nodes. Since biometric data of individuals are sensitive, they are also obfuscated with PUFs. Both solutions allow authenticating the origin of the sensed data with a proposed dual-factor authentication protocol. One factor is the unique physical identity of the trusted sensor node that measures them. The other factor is the physical presence of the legitimate individual in charge of authorizing their transmission. Experimental results are included to prove how the proposed PUF-based solution can be implemented with the SRAMs of commercial Bluetooth Low Energy (BLE) chips which belong to the communication module of the sensor node. Implementation results show how the proposed fingerprint recognition based on the novel texture-based feature named QFingerMap16 (QFM) can be implemented fully inside a low-cost sensor node. Robustness, security and privacy issues at the proposed sensor nodes are discussed and analyzed with experimental results from PUFs and fingerprints taken from public and standard databases.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/87145
https://doi.org/10.3390/s18082429
url https://hdl.handle.net/11441/87145
https://doi.org/10.3390/s18082429
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sensors, 18 (8), 2429-1-2429-25.
TEC2014-57971-R
TEC2017-83557-R
http://dx.doi.org/10.3390/s18082429
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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