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This is a post-peer-review, pre-copyedit version of an article published in Eurasip journal on wireless communication and networking. The final authenticated version is available online at: http://dx.doi.org/10.1186/s13638-019-1375-7 ; Routing in mobile ad hoc networks is based on the cooperation of the network's nodes. The presence of selfish nodes that do not cooperate in this task drastically reduces the number of delivered packets. In order to find the better paths that include nodes willing to cooperate, we propose a new routing algorithm based on the reputation of the nodes. In our proposal, each node locally assigns a reputation value to the rest of the nodes in the network and next it uses the assigned reputation values to find out the better routing paths, in order to minimize the overall packet loss ratio. We assume that nodes have a stationary routing behavior, but we also include a mechanism to detect changes in their behavior. Our approach has been evaluated in the presence of selfish nodes, in order to compare it with the dynamic source routing algorithm, obtaining a reduction in the packet loss ratio at the expenses of a small increase in the number of hops taken by the packets to reach their destinations. ; This work was supported in part by the Spanish Government under projects INRISCO (TEC2014–-54335-C4-1-R) and MAGOS (TEC2017-84197-C4-3-R). ; Peer Reviewed ; Postprint (published version)

This research work is part of J. Estrada-Jiménez's Ph.D. thesis ; The ability of the online marketing industry to track and pro le users' Web-browsing activity is what enables effective, tailored-made advertising services. The intrusiveness of these practices and the increasing invasiveness of digital advertising, however, have raised serious concerns regarding user privacy. Although the level of ubiquity of tracking and advertising has been investigated in top-world sites based in North America and Western Europe, the extent to which those practices are carried out in territories with less or no legal coverage in terms of data protection has not been studied so far. In this work, we present the rst detailed measurement of online tracking and advertising conducted to date in one of those regions, namely, Ibero-America, by analyzing local websites (e.g., education and government sites). In doing so, our measurement study aims to nd out how user location as well as the type of publisher may impact on tracking and advertising and thus user privacy. Lastly, our thorough, extensive analysis also explores whether differences are appreciated between Latin America and the EU with regard to the third-party tracking conducted from and towards the corresponding countries. ; This work was supported by the Spanish Ministerio de Economía y Competitividad (MINECO) through the project ``Secure SMArt Grid using Open Source Intelligence. Data Privacy and Reliable Communications (MAGOS)'', ref. TEC2017-84197-C4-3-R. The research was also supported by the La Caixa Foundation under Grant ID 100010434, in part by the European Union's Horizon 2020 Research and Innovation Programme through the Marie Sklodowska-Curie under Grant 847648, and in part by the Fellowship under Grant LCF/BQ/PR20/11770009. ; Peer Reviewed ; Postprint (published version)

The SISCOM (Smart Services for Information Systems and Communication Networks) research group focuses on technologies that make it possible to provide intelligent services for information services and communication networks. We teach and do research in topics related to privacy, performance evaluation of networks, wireless adhoc and mesh networks, design of routing protocols, among others. Our research activities are funded by public research projects granted by the Spanish Government and the European Commission. ; Peer Reviewed ; Postprint (published version)