English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/168606
COMPARTIR / IMPACTO:
Estadísticas
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Título

A PUF- and Biometric-Based Lightweight Hardware Solution to Increase Security at Sensor Nodes

AutorArjona, Rosario ; Prada-Delgado, Miguel A.; Arcenegui, Javier; Baturone, I.
Palabras claveSecurity for sensor networks
Trusted sensor nodes
Physically Unclonable Functions (PUFs)
SRAM PUFs
Lightweight biometrics
Fingerprint recognition
Multibiometrics
Low-power microcontrollers
Fecha de publicación2018
EditorMultidisciplinary Digital Publishing Institute
CitaciónSensors, 18: 2429 (2018)
ResumenSecurity 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.
Versión del editorhtpp://dx.doi.org/10.3390/s18082429
URIhttp://hdl.handle.net/10261/168606
DOI10.3390/s18082429
Aparece en las colecciones: (IMSE-CNM) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
sensors-18-02429.pdf3,63 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.