Sistema de procesado y análisis de Big Data en Smart Buildings

Traballo Fin de Grao en Enxeñaría Informática. Curso 2015-2016En este proyecto se propone el despliegue de un sistema distribuido que sea capaz de almacenar, procesar y analizar toda la información generada por los sensores de un edifi cio inteligente. Dicho sistema deberá atender y dar respuesta en tiempo real a las consultas generadas por los usuarios. Los resultados a las consultas mostrarán una imagen global y actual del sistema por lo que éstos deberán integrar tanto la información del histórico como la generada en tiempo real

Digital forensic analysis methodology for private browsing: Firefox and Chrome on Linux as a case study

The web browser has become one of the basic tools of everyday life. A tool that is increasingly used to manage personal information. This has led to the introduction of new privacy options by the browsers, including private mode. In this paper, a methodology to explore the effectiveness of the private mode included in most browsers is proposed. A browsing session was designed and conducted in Mozilla Firefox and Google Chrome running on four different Linux environments. After analyzing the information written to disk and the information available in memory, it can be observed that Firefox and Chrome did not store any browsing-related information on the hard disk. However, memory analysis reveals that a large amount of information could be retrieved in some of the environments tested. For example, for the case where the browsers were executed in a VMware virtual machine, it was possible to retrieve most of the actions performed, from the keywords entered in a search field to the username and password entered to log in to a website, even after restarting the computer. In contrast, when Firefox was run on a slightly hardened non-virtualized Linux, it was not possible to retrieve any browsing-related artifacts after the browser was closedS

Digital forensic analysis of the private mode of browsers on Android

The smartphone has become an essential electronic device in our daily lives. We carry our most precious and important data on it, from family videos of the last few years to credit card information so that we can pay with our phones. In addition, in recent years, mobile devices have become the preferred device for surfing the web, already representing more than 50% of Internet traffic. As one of the devices we spend the most time with throughout the day, it is not surprising that we are increasingly demanding a higher level of privacy. One of the measures introduced to help us protect our data by isolating certain activities on the Internet is the private mode integrated in most modern browsers. Of course, this feature is not new, and has been available on desktop platforms for more than a decade. Reviewing the literature, one can find several studies that test the correct functioning of the private mode on the desktop. However, the number of studies conducted on mobile devices is incredibly small. And not only is it small, but also most of them perform the tests using various emulators or virtual machines running obsolete versions of Android. Therefore, in this paper we apply the methodology we presented in a previous work to Google Chrome, Brave, Mozilla Firefox, and Tor Browser running on a tablet with Android 13 and on two virtual devices created with Android Emulator. The results confirm that these browsers do not store information about the browsing performed in private mode in the file system. However, the analysis of the volatile memory made it possible to recover the username and password used to log in to a website or the keywords typed in a search engine, even after the devices had been rebootedThis work has received financial support from the Consellería de Cultura, Educación e Ordenación Universitaria of the Xunta de Galicia (accreditation 2019- 2022 ED431G-2019/04, reference competitive group 2022-2024, ED431C 2022/16) and the European Regional Development Fund (ERDF), which acknowledges the CiTIUS-Research Center in Intelligent Technologies of the University of Santiago de Compostela as a Research Center of the Galician University System. This work was also supported by the Ministry of Economy and Competitiveness, Government of Spain (Grant No. PID2019-104834 GB-I00). X. Fernández-Fuentes is supported by the Ministerio de Universidades, Spain under the FPU national plan (FPU18/04605)S

Solar irradiance dictates settlement timing and intensity of marine mussels

11 páginas, 4 figuras, 2 tablas.-- This work is licensed under a Creative Commons Attribution 4.0 International LicenseIdentifying the environmental factors driving larval settlement processes is crucial to understand the population dynamics of marine invertebrates. This work aims to go a step ahead and predict larval presence and intensity. For this purpose we consider the influence of solar irradiance, wind regime and continental runoff on the settlement processes. For the first time, we conducted a 5-years weekly monitoring of Mytilus galloprovincialis settlement on artificial suspended substrates, which allowed us to search for interannual variability in the settlement patterns. Comparison between the seasonal pattern of larval settlement and solar irradiance, as well as the well-known effect of solar irradiance on water temperature and food availability, suggest that solar irradiance indirectly influences the settlement process, and support the use of this meteorological variable to predict settlement occurrence. Our results show that solar irradiance allows predicting the beginning and end of the settlement cycle a month in advance: Particularly we have observed that solar irradiance during late winter indirectly drives the timing and intensity of the settlement onset, Finally, a functional generalise additive model, which considers the influence of solar irradiance and continental runoff on the settlement process, provides an accurate prediction of settlement intensity a fortnight in advanceThis study was funded by PROINSA-CSIC contract-project (CSIC0704101100001), CSIC- PIE project (CSIC 201540E107) and EU H2020 project ClimeFish (EU 677039).Peer reviewe

Functional specificity of the members of the Sos family of Ras-GEF Activators: Novel role of Sos2 in control of epidermal stem cell homeostasis

© 2021 by the authors.Prior reports showed the critical requirement of Sos1 for epithelial carcinogenesis, but the specific functionalities of the homologous Sos1 and Sos2 GEFs in skin homeostasis and tumorigenesis remain unclear. Here, we characterize specific mechanistic roles played by Sos1 or Sos2 in primary mouse keratinocytes (a prevalent skin cell lineage) under different experimental conditions. Functional analyses of actively growing primary keratinocytes of relevant genotypes—WT, Sos1-KO, Sos2-KO, and Sos1/2-DKO—revealed a prevalent role of Sos1 regarding transcriptional regulation and control of RAS activation and mechanistic overlapping of Sos1 and Sos2 regarding cell proliferation and survival, with dominant contribution of Sos1 to the RAS-ERK axis and Sos2 to the RAS-PI3K/AKT axis. Sos1/2-DKO keratinocytes could not grow under 3D culture conditions, but single Sos1-KO and Sos2-KO keratinocytes were able to form pseudoepidermis structures that showed disorganized layer structure, reduced proliferation, and increased apoptosis in comparison with WT 3D cultures. Remarkably, analysis of the skin of both newborn and adult Sos2-KO mice uncovered a significant reduction of the population of stem cells located in hair follicles. These data confirm that Sos1 and Sos2 play specific, cell-autonomous functions in primary keratinocytes and reveal a novel, essential role of Sos2 in control of epidermal stem cell homeostasis.The E.S. group was supported by grants from ISCIII-MCUI (FIS PI19/00934), JCyL (SA264P18-UIC 076), Areces Foundation (CIVP19A5942), Solorzano-Barruso Foundation (FS/32-2020), and by ISCIII-CIBERONC (group CB16/12/00352). Research was co-financed by FEDER funds. The J.M.P. lab is co-funded by European Regional Development Fund (FEDER) grants from Science and Innovation (SAF2015-66015-R and PID2019-110758RB-I00 to J.M.P.) and Instituto de Salud Carlos III (CIBERONC no. CB16/12/00228 to J.M.P.). The XRB lab is funded by “la Caixa” Banking Foundation (HR20-00164), the Castilla-León autonomous government (CSI252P18, CSI145P20, CLC-2017-01), the Spanish Ministry of Science and Innovation (MSI) (RTI2018-096481-B-100), and the Spanish Association against Cancer (GC16173472GARC). The CIC is supported by the Programa de Apoyo a Planes Estratégicos de Investigación de Estructuras de Investigación de Excelencia of the Castilla-León autonomous government (CLC-2017-01). L.F.L.-M. and N.F.-P. contracts have been supported by funding from the Spanish Ministry of Universities (FPU13/02923, FPU17/03912) and, in the case of L.F.L.M., by CLC-2017-01 grant

Técnicas de análisis forense para la evaluación de la privacidad e integridad de la información: navegadores web y ataques de ransomware

Esta tesis aplica técnicas de análisis forense a dos importantes problemas relacionados con la privacidad y la seguridad: la eficacia del modo de navegación privado y los ataques de ransomware. Por un lado, se desarrolló una metodología para evaluar el correcto funcionamiento del modo privado integrado en la mayoría de los navegadores web actuales. La metodología fue diseñada de forma que fuera totalmente independiente del sistema operativo o del navegador utilizado. Las pruebas realizadas con Linux y con Android muestran que es posible recuperar información sensible incluso después de reiniciar los dispositivos. Por otro lado, se estudió una las amenazas más importantes de los últimos años: el ransomware. En términos generales, este tipo de ataques, dirigido tanto a particulares como a empresas, impide el acceso a los archivos almacenados en un equipo hasta que se paga un rescate. Tras estudiar el comportamiento de diferentes muestras, se desarrollaron dos herramientas que permiten recuperar la clave utilizada para cifrar los ficheros directamente de la memoria del equipo, evitando así tener que pagar el rescate exigido por el atacante

Reconstruction of Tomographic Images through Machine Learning Techniques

Some problems in the field of health or industry require to obtain information from the inside of a body without using invasive methods. Some techniques are able to get qualitative images. However, these images are not enough to solve some problems that require an accurate knowledge. Normally, the tomography processes are used to explore inside of a body. In this particular case, we are using the method called Electrical Impedance Tomography (EIT). The basic operation of this method is as follows: (1) The electrical potential difference is measured in the electrodes placed around the body. This part is known as forward model. (2) Get information from the inside of the body using the measured voltages. This problem is known as inverse problem. There are several approximations to solve this inverse problem. However, these solutions are focused on obtaining qualitative images. In this paper, we show the main challenges of how to obtain quantitative knowledge when Machine Learning techniques are used to solve this inverse problem

Predicción del patrón de asentamiento larvario en las rías gallegas con GAM para datos reales y funcionales

Presentación de la comunicación oral presentada en el II Encuentro Galaico-Portugués de Biometría, Santiago de Compostela, 30 de junio, 1 y 2 de julio de 2016La captación de semilla en sustratos artificiales es crucial para garantizar la sostenibilidad del cultivo de mejillón en las rías gallegas. Esta necesidad ha motivado el estudio del ciclo de asentamiento larvario del mejillón y su relación con condiciones ambientales y meteorológicos. Este trabajo muestra la utilizad de los modelos GAM para datos reales y funcionales en el desarrollo de un sistema de predicción del patrón de asentamiento larvario a partir de variables meteorológicas medidas a diario por fuentes oficialesEste trabajo ha sido financiado por el convenio entre PROINSA y CSIC CSIC 0704101100001 y los proyectos CSIC 201540E107 y ClimeFish (EU 677039).Peer reviewe

Towards a Fast and Accurate EIT Inverse Problem Solver: A Machine Learning Approach

Different industrial and medical situations require the non-invasive extraction of information from the inside of bodies. This is usually done through tomographic methods that generate images based on internal body properties. However, the image reconstruction involves a mathematical inverse problem, for which accurate resolution demands large computation time and capacity. In this paper we explore the use of Machine Learning to develop an accurate solver for reconstructing Electrical Impedance Tomography images in real-time. We compare the results with the Iterative Gauss-Newton and the Primal Dual Interior Point Method, which are both largely used and well-validated solvers. The approaches were compared from the qualitative as well as the quantitative viewpoints. The former was focused on correctly detecting the internal body features. The latter was based on accurately predicting internal property distributions. Experiments revealed that our approach achieved better accuracy and Cohen’s kappa coefficient (97.57% and 94.60% respectively) from the qualitative viewpoint. Moreover, it also obtained better quantitative metrics with a Mean Absolute Percentage Error of 18.28%. Experiments confirmed that Neural Networks algorithms can reconstruct internal body properties with high accuracy, so they would be able to replace more complex and slower alternatives

Empirical modelling of seston quality based on environmental factors in a mussel culture area (NW Iberian upwelling system)

17 páginas, 8 figuras, 4 tablasWe analyzed the spatial and temporal variability of seston parameters at 4 locations in the Ría de Ares-Betanzos (NW Spain) over 5 yr. Seston content was higher in the inner part of the ría and during winter, while seston quality was higher in the outer part of the ría with maximum values during summer, and exhibited a marked relationship with water circulation. Inter-annual differences were detected only in the organic content of seston (which was not always well-correlated with chlorophyll a), and only at some locations. Seston quality had the strongest relationship with meteorological factors, and was the only variable that was consistent at the 4 sites within the embayment. This led us to develop an empirical model that explains the spatial-temporal variability of seston quality in terms of wind stress and river dischargeThis study was supported by PROINSA-CSIC contract-project (CSIC0704101100001), and MICINN ESSMA project (ACI2008-0780)Peer reviewe