Evaluation of a Vein Biometric Recognition System on an Ordinary Smartphone

Nowadays, biometrics based on vein patterns as a trait is a promising technique. Vein patterns satisfy universality, distinctiveness, permanence, performance, and protection against circumvention. However, collectability and acceptability are not completely satisfied. These two properties are directly related to acquisition methods. The acquisition of vein images is usually based on the absorption of near-infrared (NIR) light by the hemoglobin inside the veins, which is higher than in the surrounding tissues. Typically, specific devices are designed to improve the quality of the vein images. However, such devices increase collectability costs and reduce acceptability. This paper focuses on using commercial smartphones with ordinary cameras as potential devices to improve collectability and acceptability. In particular, we use smartphone applications (apps), mainly employed for medical purposes, to acquire images with the smartphone camera and improve the contrast of superficial veins, as if using infrared LEDs. A recognition system has been developed that employs the free IRVeinViewer App to acquire images from wrists and dorsal hands and a feature extraction algorithm based on SIFT (scale-invariant feature transform) with adequate pre- and post-processing stages. The recognition performance has been evaluated with a database composed of 1000 vein images associated to five samples from 20 wrists and 20 dorsal hands, acquired at different times of day, from people of different ages and genders, under five different environmental conditions: day outdoor, indoor with natural light, indoor with natural light and dark homogeneous background, indoor with artificial light, and darkness. The variability of the images acquired in different sessions and under different ambient conditions has a large influence on the recognition rates, such that our results are similar to other systems from the literature that employ specific smartphones and additional light sources. Since reported quality assessment algorithms do not help to reject poorly acquired images, we have evaluated a solution at enrollment and matching that acquires several images subsequently, computes their similarity, and accepts only the samples whose similarity is greater than a threshold. This improves the recognition, and it is practical since our implemented system in Android works in real-time and the usability of the acquisition app is high.MCIN/AEI/ 10.13039/50110001103 Grant PDC2021-121589-I00Fondo Europeo de Desarrollo Regional (FEDER) and Consejería de Transformación Económica, Industria, Conocimiento y Universidades de la Junta de Andalucía Grant US-126514

Using physical unclonable functions for internet-of-thing security cameras

This paper proposes a low-cost solution to develop IoT security cameras. Integrity and confidentiality of the image data are achieved by cryptographic modules that implement symmetric key-based techniques which are usually available in the hardware of the IoT cameras. The novelty of this proposal is that the secret key required is not stored but reconstructed from the start-up values of a SRAM in the camera hardware acting as a PUF (Physical Unclonable Function), so that the physical authenticity of the camera is also ensured. The start-up values of the SRAM are also exploited to change the IV (Initialization Vector) in the encryption algorithm. All the steps for enrollment and normal operation can be included in a simple firmware to be executed by the camera. There is no need to include specific hardware but only a SRAM is needed which could be powered down and up by firmware.Ministerio de Economía y Competitividad del Gobierno de España y fondos europeos FEDER-TEC2014-57971-RConsejo Superior de Investigaciones Científicas (CSIC)-HW-SEEDS 201750E010V Plan Propio de Investigación de la Universidad de Sevill

Diseño y preparación de un laboratorio virtual de Química Analítica: Técnicas instrumentales de análisis

La reciente pandemia del COVID-19 ha supuesto un cambio excepcional y drástico de la concepción tradicional del aprendizaje, tanto para los estudiantes como para los docentes. Ante esta situación se requiere no sólo acciones que faciliten la adaptación de los estudiantes y profesores a las plataformas educativas en línea, sino también a que éstas se conviertan en auténticas herramientas para potenciar y mejorar de forma significativa el aprendizaje del alumno. El presente proyecto de Innovación Educativa y Mejora de la Calidad Docente pretende mejorar la calidad del aprendizaje de varias asignaturas de los Grados de Química e Ingeniería Química que llevan asociado un Laboratorio de Técnicas Instrumentales. Tradicionalmente esa docencia práctica ha sido presencial, pero la situación excepcional surgida con la pandemia en el curso 2019/2020, ha demostrado que disponer de unas prácticas virtualizadas es de gran ayuda para facilitar el aprendizaje de los alumnos y facilitar una transferencia del conocimiento constructivo y colaborativo. Desde hace años, el personal docente e investigador (PDI), personal de administración y servicios (PAS) y los estudiantes de la UCM, disponemos de la plataforma de enseñanza online Moodle (Campus Virtual, CV). Sin embargo, la pandemia que vivimos ha evidenciado la brecha digital en lo referente a cómo usar Moodle y, por ende, la utilización de las Tecnologías de Información y Comunicación (TICs) como facilitadoras didácticas. A pesar de nuestras limitaciones, tanto profesores como estudiantes, hemos desarrollado una enorme capacidad resiliente, lo que permitió, durante el pasado mes de mayo, la puesta en marcha de los primeros laboratorios en línea en el Departamento de Química Analítica de la UCM. Fruto de esta experiencia, así como de la situación actual de incertidumbre para el curso próximo, algunos profesores, estudiantes y PAS del departamento hemos decidido adelantarnos a un escenario futuro en el que se contemple nuevamente la impartición de Docencia Experimental en línea y solicitar el presente proyecto de Innovación Educativa y Mejora de la Calidad Docente

CIBERER : Spanish national network for research on rare diseases: A highly productive collaborative initiative

Altres ajuts: Instituto de Salud Carlos III (ISCIII); Ministerio de Ciencia e Innovación.CIBER (Center for Biomedical Network Research; Centro de Investigación Biomédica En Red) is a public national consortium created in 2006 under the umbrella of the Spanish National Institute of Health Carlos III (ISCIII). This innovative research structure comprises 11 different specific areas dedicated to the main public health priorities in the National Health System. CIBERER, the thematic area of CIBER focused on rare diseases (RDs) currently consists of 75 research groups belonging to universities, research centers, and hospitals of the entire country. CIBERER's mission is to be a center prioritizing and favoring collaboration and cooperation between biomedical and clinical research groups, with special emphasis on the aspects of genetic, molecular, biochemical, and cellular research of RDs. This research is the basis for providing new tools for the diagnosis and therapy of low-prevalence diseases, in line with the International Rare Diseases Research Consortium (IRDiRC) objectives, thus favoring translational research between the scientific environment of the laboratory and the clinical setting of health centers. In this article, we intend to review CIBERER's 15-year journey and summarize the main results obtained in terms of internationalization, scientific production, contributions toward the discovery of new therapies and novel genes associated to diseases, cooperation with patients' associations and many other topics related to RD research

A facial authentication system using post-quantum-secure data generated on mobile devices

This paper describes a demonstrator of a post-quantum-secure facial authentication system distributed between a mobile device acting as a client and a remote computer acting as an authentication server. Homomorphic encryption based on Classic McEliece, one of the fourth-round candidates of the NIST post-quantum standardization process, is carried out by the client for protecting the biometric data extracted from the users' faces at enrollment and verification. The remote computer only stores and compares the received protected data, thus preserving user privacy. An Android App and a Graphical User Interface (GUI) were implemented at the client and the server, respectively, to show the system performance in terms of computation and security

A Quantum-Resistant Face Template Protection Scheme using Kyber and Saber Public Key Encryption Algorithms

Considered sensitive information by the ISO/IEC 24745, biometric data should be stored and used in a protected way. If not, privacy and security of end-users can be compromised. Also, the advent of quantum computers demands quantum-resistant solutions. This work proposes the use of Kyber and Saber public key encryption (PKE) algorithms together with homomorphic encryption (HE) in a face recognition system. Kyber and Saber, both based on lattice cryptography, were two finalists of the third round of NIST post-quantum cryptography standardization process. After the third round was completed, Kyber was selected as the PKE algorithm to be standardized. Experimental results show that recognition performance of the non-protected face recognition system is preserved with the protection, achieving smaller sizes of protected templates and keys, and shorter execution times than other HE schemes reported in literature that employ lattices. The parameter sets considered achieve security levels of 128, 192 and 256 bits

Bajo el signo de la luz : la fundación de una utopía andaluza

Esta publicación obtuvo el Primer Premio Joaquín Guichot a investigaciones, experiencias y materiales sobre Andalucía y su cultura en la edición XXVI del curso 2013/2014Se trata de un proyecto intercentros en el que se pretende convertir en aula a la comunidad. Nace para dar respuesta a las inquietudes de un alumnado y una población que ignoran, en buena medida, sus orígenes y los de sus antepasados. Como respuesta a esa necesidad, se vuelve sobre las huellas del tiempo para descubrir la epopeya de las nuevas poblaciones de Sierra Morena y Andalucía; una iniciativa que respondió a los ideales del Siglo de las Luces y a la necesidad de poblar los extensos terrenos que bordeaban el Camino Real. Con el formato de aprendizaje-servicio a la comunidad, el alumnado descubrirá que sus raíces culturales, sus apellidos y tradiciones, lejos de los localismos, provienen de Europa Central y suponen un ejemplo de integración cultural. "Bajo el signo de la luz" va más allá y sueña con llevar la utopía a la educación e intenta convertirse en un paradigma de integración del trabajo de Educación Infantil, Primaria y Secundaria, o de cualesquiera otras enseñanzas, y se apoya en el deseo idealista de dar a conocer la cultura andaluza al alumnado de nuestra Comunidad Autónoma.AndalucíaES

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele