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Ivan Marsa-Maestre; Jose Manuel Gimenez-Guzman; Luis Cruz-Piris; Susel Fernandez-Melian; Jose-Javier Martínez-Herraiz; Bernardo Alarcos; Iván Blanco-Chacón. CloudWall: A Cloud-enabled Resiliency Framework for HealthCare IT Infrastructures. Investigación en Ciberseguridad 2021, 1 .
AMA StyleIvan Marsa-Maestre, Jose Manuel Gimenez-Guzman, Luis Cruz-Piris, Susel Fernandez-Melian, Jose-Javier Martínez-Herraiz, Bernardo Alarcos, Iván Blanco-Chacón. CloudWall: A Cloud-enabled Resiliency Framework for HealthCare IT Infrastructures. Investigación en Ciberseguridad. 2021; ():1.
Chicago/Turabian StyleIvan Marsa-Maestre; Jose Manuel Gimenez-Guzman; Luis Cruz-Piris; Susel Fernandez-Melian; Jose-Javier Martínez-Herraiz; Bernardo Alarcos; Iván Blanco-Chacón. 2021. "CloudWall: A Cloud-enabled Resiliency Framework for HealthCare IT Infrastructures." Investigación en Ciberseguridad , no. : 1.
Embedded personal devices as smartwatches can be a valuable source of information for the investigation of criminal acts, as they can store contact data, call records, instant messages, multimedia files and so, without requiring access to the connected smartphone. This paper presents the acquisition and forensic analysis done on different non-android smartwatches equipped with a low-cost MTK chip. In this article, we will present the results of a complete study about the information contained in these smartwatch models, showing those artifacts that could be stored inside and might be critical in the investigation of a criminal act.
J. Gregorio; B. Alarcos; A. Gardel. Forensic analysis of Nucleus RTOS on MTK smartwatches. Digital Investigation 2019, 29, 55 -66.
AMA StyleJ. Gregorio, B. Alarcos, A. Gardel. Forensic analysis of Nucleus RTOS on MTK smartwatches. Digital Investigation. 2019; 29 ():55-66.
Chicago/Turabian StyleJ. Gregorio; B. Alarcos; A. Gardel. 2019. "Forensic analysis of Nucleus RTOS on MTK smartwatches." Digital Investigation 29, no. : 55-66.
Alberto Fuentes Rodriguez; Luis Hernandez Encinas; Agustin Martin Munoz; Bernardo Alarcos Alcazar. A Modular and Optimized Toolbox for Side-Channel Analysis. IEEE Access 2019, 7, 21889 -21903.
AMA StyleAlberto Fuentes Rodriguez, Luis Hernandez Encinas, Agustin Martin Munoz, Bernardo Alarcos Alcazar. A Modular and Optimized Toolbox for Side-Channel Analysis. IEEE Access. 2019; 7 ():21889-21903.
Chicago/Turabian StyleAlberto Fuentes Rodriguez; Luis Hernandez Encinas; Agustin Martin Munoz; Bernardo Alarcos Alcazar. 2019. "A Modular and Optimized Toolbox for Side-Channel Analysis." IEEE Access 7, no. : 21889-21903.
Theoretical security of cryptographic systems does not guarantee their security in practice when those systems are implemented in physical devices. The aim of this work is to present the design and optimization of the input modules of a toolbox to carry out differential power analysis attacks against the physical implementation of a given cryptosystem. Text and Key modules allow to input the plaintext or ciphertext to the targeted cryptographic algorithm and the corresponding hypothetical values about the used key, respectively. Once configured, the toolbox Power Traces module controls a digital oscilloscope which acquires the power traces during the operation of the device and automatically performs the necessary traces alignment. It can also perform statistical operations with the stored values representing the acquired traces. An analysis about different object-oriented trace representation options to implement the toolbox is performed and results are presented.
A. Fuentes Rodríguez; Luis Hernandez Encinas; A. Martín Muñoz; B. Alarcos Alcázar. Design and optimization of the input modules of a DPA toolbox. Logic Journal of the IGPL 2015, jzv041 .
AMA StyleA. Fuentes Rodríguez, Luis Hernandez Encinas, A. Martín Muñoz, B. Alarcos Alcázar. Design and optimization of the input modules of a DPA toolbox. Logic Journal of the IGPL. 2015; ():jzv041.
Chicago/Turabian StyleA. Fuentes Rodríguez; Luis Hernandez Encinas; A. Martín Muñoz; B. Alarcos Alcázar. 2015. "Design and optimization of the input modules of a DPA toolbox." Logic Journal of the IGPL , no. : jzv041.
Sensor networks are a concept that has become very popular in data acquisition and processing for multiple applications in different fields such as industrial, medicine, home automation, environmental detection, etc. Today, with the proliferation of small communication devices with sensors that collect environmental data, semantic Web technologies are becoming closely related with sensor networks. The linking of elements from Semantic Web technologies with sensor networks has been called Semantic Sensor Web and has among its main features the use of ontologies. One of the key challenges of using ontologies in sensor networks is to provide mechanisms to integrate and exchange knowledge from heterogeneous sources (that is, dealing with semantic heterogeneity). Ontology alignment is the process of bringing ontologies into mutual agreement by the automatic discovery of mappings between related concepts. This paper presents a system for ontology alignment in the Semantic Sensor Web which uses fuzzy logic techniques to combine similarity measures between entities of different ontologies. The proposed approach focuses on two key elements: the terminological similarity, which takes into account the linguistic and semantic information of the context of the entity’s names, and the structural similarity, based on both the internal and relational structure of the concepts. This work has been validated using sensor network ontologies and the Ontology Alignment Evaluation Initiative (OAEI) tests. The results show that the proposed techniques outperform previous approaches in terms of precision and recall.
Susel Fernandez; Ivan Marsa-Maestre; Juan R. Velasco; Bernardo Alarcos. Ontology Alignment Architecture for Semantic Sensor Web Integration. Sensors 2013, 13, 12581 -12604.
AMA StyleSusel Fernandez, Ivan Marsa-Maestre, Juan R. Velasco, Bernardo Alarcos. Ontology Alignment Architecture for Semantic Sensor Web Integration. Sensors. 2013; 13 (9):12581-12604.
Chicago/Turabian StyleSusel Fernandez; Ivan Marsa-Maestre; Juan R. Velasco; Bernardo Alarcos. 2013. "Ontology Alignment Architecture for Semantic Sensor Web Integration." Sensors 13, no. 9: 12581-12604.