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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..


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)
A. Nieto, and J. Lopez, "Analysis and Taxonomy of Security/QoS tradeoff solutions for the Future Internet",
Security and Communication Networks (SCN) Journal, vol. 7, issue 12, Wiley-Blackwell, pp. 2778-2803, 2013. DOI (I.F.: 0.433)More..


Motivated by the growing convergence of diverse types of networks and the rise of concepts such as Future Internet (FI), in this paper we analyse the coexistence of security mechanisms and Quality of Service (QoS) mechanisms in resourceconstrained networks, that are relevant types of networks within the FI environment. More precisely, we analyse the current state of the research on security and QoS in the integration of Wireless Sensor Networks (WSNs), Mobile Ad-Hoc Networks (MANETs) and cellular networks. Furthermore, we propose a taxonomy to identify similarities among these technologies, as well as the requirements for network interconnection. As a result, we define a dependency-based model for the analysis of Security and QoS tradeoff, and also define a high-level integration architecture for networks in the FI setting. The final goal is to provide a critical point of view that allows to assess whether such an integration of networks can be both secure and efficient.

Impact Factor: 0.433
Journal Citation Reports® Science Edition (Thomson Reuters, 2013)

PDF icon nietoscn13.pdf (1.67 MB)
A. Nieto, and J. Lopez, "Traffic Classifier for Heterogeneous and Cooperative Routing through Wireless Sensor Networks",
Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on, IEEE, pp. 607-612, 03/2012. DOI More..



Wireless Sensor Networks (WSN) are networks composed of autonomous devices manufactured to solve a specific problem, with limited computational capabilities and resource-constrained (e.g. limited battery). WSN are used to monitor physical or environmental conditions within an area (e.g. temperature, humidity). The popularity of the WSN is growing, precisely due to the wide range of sensors available. As a result, these networks are being deployed as part of several infrastructures. However, sensors are designed to collaborate only with sensors of the same type. In this sense, taking advantage of the heterogeneity of WSN in order to provide common services, like it is the case of routing, has not been sufficiently considered. For this reason, in this paper we propose a routing protocol based on traffic classification and role-assignment to enable heterogeneous WSN for cooperation. Our approach considers both QoS requirements and lifetime maximization to allow the coexistence of different applications in the heterogeneous network infrastructure.


PDF icon Nieto2012a.pdf (372.72 KB)
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