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J. A. Onieva, R. Rios, R. Roman, and J. Lopez, "Edge-Assisted Vehicular Networks Security",
IEEE Internet of Things Journal, vol. 6, issue 5, IEEE Computer Society, pp. 8038-8045, 10/2019. DOI (I.F.: 9.936)More..

Abstract

Edge Computing paradigms are expected to solve some major problems affecting current application scenarios that rely on Cloud computing resources to operate. These novel paradigms will bring computational resources closer to the users and by doing so they will not only reduce network latency and bandwidth utilization but will also introduce some attractive context-awareness features to these systems. In this paper we show how the enticing features introduced by Edge Computing paradigms can be exploited to improve security and privacy in the critical scenario of vehicular networks (VN), especially existing authentication and revocation issues. In particular, we analyze the security challenges in VN and describe three deployment models for vehicular edge computing, which refrain from using vehicular- to-vehicular communications. The result is that the burden imposed to vehicles is considerably reduced without sacrificing the security or functional features expected in vehicular scenarios.

Impact Factor: 9.936
Journal Citation Reports® Science Edition (Thomson Reuters, 2019)

PDF icon onieva2019vec.pdf (416.43 KB)
R. Roman, J. Lopez, and S. Gritzalis, "Evolution and Trends in the Security of the Internet of Things",
IEEE Computer, vol. 51, issue 7, IEEE Computer Society, pp. 16-25, 07/2018. DOI (I.F.: 3.564)More..
Impact Factor: 3.564
Journal Citation Reports® Science Edition (Thomson Reuters, 2018)

J. Lopez, R. Rios, F. Bao, and G. Wang, "Evolving privacy: From sensors to the Internet of Things",
Future Generation Computer Systems, vol. 75, Elsevier, pp. 46–57, 10/2017. DOI (I.F.: 4.639)More..

Abstract

The Internet of Things (IoT) envisions a world covered with billions of smart, interacting things capable of offering all sorts of services to near and remote entities. The benefits and comfort that the IoT will bring about are undeniable, however, these may come at the cost of an unprecedented loss of privacy. In this paper we look at the privacy problems of one of the key enablers of the IoT, namely wireless sensor networks, and analyse how these problems may evolve with the development of this complex paradigm. We also identify further challenges which are not directly associated with already existing privacy risks but will certainly have a major impact in our lives if not taken into serious consideration. 

Impact Factor: 4.639
Journal Citation Reports® Science Edition (Thomson Reuters, 2017)

PDF icon Lopez2017iotpriv.pdf (440.5 KB)
R. Rios, and J. Lopez, "Evolución y nuevos desafios de privacidad en la Internet de las Cosas",
XIV Reunión Española sobre Criptología y Seguridad de la Información, pp. 209-213, 10/2016. More..

Abstract

La Internet de las Cosas (en inglés, Internet of Things (IoT)) es una evolución de la Internet tal y como lo conocemos. Esta nueva versión de Internet incorpora objetos de la vida cotidiana, rompiendo así barrera de los digital y extendiéndose al mundo físico. Estos objetos interactuarán entre sí y con otras entidades tanto de manera local como remota, y estarán dotados de cierta capacidad computacional y sensores para que sean conscientes de lo que ocurre en su entorno. Esto traerá consigo un sinfín de posibilidades y nuevos servicios, pero también dará lugar a nuevos y mayores riesgos de privacidad para los ciudadanos. En este artículo, estudiamos los problemas de privacidad actuales de una de las tecnologías claves para el desarrollo de este prometedor paradigma, las redes de sensores, y analizamos como pueden evolucionar y surgir nuevos riesgos de privacidad al ser completamente integradas en la Internet.

 

PDF icon Rios2016a.pdf (263.7 KB)
A. Nieto, "Evaluation of Dynamic Instantiation in CPRM-based Systems",
9th International Conference on Risk and Security of Internet and Systems (CRiSIS'14), vol. 8924, Springer, pp. 52-66, 2014. DOI More..

Abstract

Context-based Parametric Relationship Models (CPRMs) reduce the complexity of working with various numbers of parameters and dependencies, by adding particular contexts to the final scheme when it is required, dynamically. In this paper the cost of including new information in CPRM is properly analysed, considering the information in the parametric trees defined for the parameters in the CPRM-based system. Some strategies for mitigating the cost of the instantiation process are proposed.

 

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