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Agusti Solanas, Jesus Manjon

RFID Security: Techniques, Protocols and System-On-Chip Design, 289

Description: The deployment of the RFID technology can put the privacy of its users in jeopardy. With the aim of averting the fears of the RFID potential users, a plethora of security and privacy methods have been designed. However, due to the important growth of this technology, scalability problems have arisen and the proper deployment of the technology has become a challenge. In this chapter, we provide a brief overview of the most relevant methods for providing security and privacy to the users of the RFID technology. We pay a special attention to the hash locks proposal and we recall a method based on the distribution of RFID readers, with the aim to provide security and privacy in a scalable fashion. In order to test our method, we have developed a simulator that is presented in this chapter. By using this simulator we study the distribution of several kinds of readers on a variety of scenarios, and we report some of the obtained results.

Carlos E Jiménez, Francisco Falcone, Agusti Solanas, Héctor Puyosa, Saleem Zoughbi, Federico González

IEEE Access 8, 83070-83080

Description: The advent of Smart Cities is one of the greatest challenges and field of opportunities in the goal to achieve sustainable, comfortable, and socially responsible living environments. A large number of factors, spanning from government/administration/citizen interaction models, heterogeneous communication network, interoperability, or security determine the capabilities and functionalities that can be deployed. In this chapter, different factors in the implementation and adoption of E-Government within Smart City scenarios are described. The authors include the Interoperability Principle as a part of the Open Government concept and link this concept with the Smart Cities view. Then, they describe a new model of public organization that they call “Intelligent,” characterized by the “Smart Government,” and they propose a matrix with the elements of this model. Then, the authors analyze the technical and infrastructure dimensions of the matrix.

Fran Casino, Peio Lopez-Iturri, Erik Aguirre, Leyre Azpilicueta, Francisco Falcone, Agusti Solanas

IEEE Access 8, 83070-83080

Description: In this paper, an enhancement of a hybrid simulation technique based on combining collabo- rative filtering with deterministic 3D ray launching algorithm is proposed. Our approach implements a new methodology of data depuration from low definition simulations to reduce noisy simulation cells. This is achieved by processing the maximum number of permitted reflections, applying memory based collaborative filtering, using a nearest neighbors’ approach. The depuration of the low definition ray launching simulation results consists on discarding the estimated values of the cells reached by a number of rays lower than a set value. Discarded cell values are considered noise due to the high error that they provide comparing them to high definition ray launching simulation results. Thus, applying the collaborative filtering technique both to empty and noisy cells, the overall accuracy of the proposed methodology is improved. Specifically, the size of the data collected from the scenarios was reduced by more than 40% after identifying and extracting noisy/erroneous values. In addition, despite the reduced amount of training samples, the new methodology provides an accuracy gain above 8% when applied to the real-world scenario under test, compared with the original approach. Therefore, the proposed methodology provides more precise results from a low definition dataset, increasing accuracy while exhibiting lower complexity in terms of computation and data storage. The enhanced hybrid method enables the analysis of larger complex scenarios with high transceiver density, providing coverage/capacity estimations in the design of heterogeneous IoT network applications.

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