Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks

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Show simple item record Cámara Núñez, María Carmen Martín González, Honorio Peris López, Pedro Aldalaien, Muawya 2019-07-05T08:30:08Z 2019-07-05T08:30:08Z 2019-05-01
dc.identifier.bibliographicCitation Camara, C., Martín, H., Peris-López, P. y Aldalaien, M. (2019). Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks. Sensors, 19(9), 2033.
dc.identifier.issn 1424-8220
dc.description This article belongs to the Section Internet of Things
dc.description.abstract Today, medical equipment or general-purpose devices such as smart-watches or smart-textiles can acquire a person's vital signs. Regardless of the type of device and its purpose, they are all equipped with one or more sensors and often have wireless connectivity. Due to the transmission of sensitive data through the insecure radio channel and the need to ensure exclusive access to authorised entities, security mechanisms and cryptographic primitives must be incorporated onboard these devices. Random number generators are one such necessary cryptographic primitive. Motivated by this, we propose a True Random Number Generator (TRNG) that makes use of the GSR signal measured by a sensor on the body. After an exhaustive analysis of both the entropy source and the randomness of the output, we can conclude that the output generated by the proposed TRNG behaves as that produced by a random variable. Besides, and in comparison with the previous proposals, the performance offered is much higher than that of the earlier works.
dc.description.sponsorship This work was supported by the Spanish Ministry of Economy and Competitiveness under the contract ESP-2015-68245-C4-1-P, by the MINECO grant TIN2016-79095-C2-2-R (SMOG-DEV), and by the Comunidad de Madrid (Spain) under the project CYNAMON (P2018/TCS-4566), co-financed by European Structural Funds (ESF and FEDER). This research was also supported by the Interdisciplinary Research Funds (HTC, United Arab Emirates) under the grant No. 103104.
dc.format.extent 15
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rights Atribución 3.0 España
dc.subject.other Galvanic Skin Response (Gsr)
dc.subject.other Entropy
dc.subject.other Randomness
dc.subject.other Random Number Generators (Rng)
dc.subject.other Hilbert transform
dc.title Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi 10.3390/s19092033
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2016-79095-C2-2-R
dc.relation.projectID Gobierno de España. ESP-2015-68245-C4-1-P
dc.relation.projectID Comunidad de Madrid. P2018/TCS-4566
dc.type.version publishedVersion
dc.identifier.publicationissue 9
dc.identifier.publicationtitle Sensors
dc.identifier.publicationvolume 19
dc.identifier.uxxi AR/0000023864
dc.contributor.funder Comunidad de Madrid
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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