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Filters: Keyword is security and Author is Francisco Moyano  [Clear All Filters]
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P. Najera, F. Moyano, and J. Lopez, "Secure Integration of RFID Technology in Personal Documentation for Seamless Identity Validation",
3rd Symposium of Ubiquitous Computing and Ambient Intelligence 2008, Advances in Soft Computing 51/2009, Springer, pp. 134-138, October, 2008. DOI More..

Abstract

Seamless human identification and authentication in the information system is a fundamental step towards the transparent interaction between the user and its context proposed in ambient intelligence. In this context, the IDENTICA project is aimed to the design and implementation of a distributed authentication platform based on biometrics (i.e. voice and facial image) and personal documentation. In this paper, we present our work in this project focused on the secure integration of RFID technology in personal documentation in order to provide seamless identity validation. Our actual work status, first results and future directions are described in detail.

PDF icon PNajera2009.pdf (37.61 KB)
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F. Moyano, K. Beckers, and C. Fernandez-Gago, "Trust-Aware Decision-Making Methodology for Cloud Sourcing",
26th International Conference on Advanced Information Systems Engineering (CAiSE 2014), M. Jarke, et al. Eds., LCNS 8484, Springer, pp. 136-149, 06/2014. DOI More..

Abstract

Cloud sourcing consists of outsourcing data, services and infrastructure to cloud providers. Even when this outsourcing model brings advantages to cloud customers, new threats also arise as sensitive data and critical IT services are beyond customers' control. When an organization considers moving to the cloud, IT decision makers must select a cloud provider and must decide which parts of the organization will be outsourced and to which extent. This paper proposes a methodology that allows decision makers to evaluate their trust in cloud providers. The methodology provides a systematic way to elicit knowledge about cloud providers, quantify their trust factors and aggregate them into trust values that can assist the decision-making process. The trust model that we propose is based on trust intervals, which allow capturing uncertainty during the evaluation, and we define an operator for aggregating these trust intervals. The methodology is applied to an eHealth scenario.

PDF icon moyano14caise.pdf (333.6 KB)