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Filters: Author is Francisco Moyano and Keyword is Trust  [Clear All Filters]
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M
F. Moyano, C. Fernandez-Gago, and J. Lopez, "Towards Engineering Trust-aware Future Internet Systems",
3rd International Workshop on Information Systems Security Engineering (WISSE 2013), X. Franch, and P. Soffer Eds., LNBIP 148, Springer-Verlag, pp. 490-501, Jun 2013. DOI More..

Abstract

Security must be a primary concern when engineering Future Internet (FI) systems and applications. In order to achieve secure solutions, we need to capture security requirements early in the Software Development Life Cycle (SDLC). Whereas the security community has traditionally focused on providing tools and mechanisms to capture and express hard security requirements (e.g. confidentiality), little attention has been paid to other important requirements such as trust and reputation. We argue that these soft security requirements can leverage security in open, distributed, heterogeneous systems and applications and that they must be included in an early phase as part of the development process. In this paper we propose a UML extension for specifying trust and reputation requirements, and we apply it to an eHealth case study.

PDF icon moyano13wisse.pdf (505.78 KB)
F. Moyano, C. Fernandez-Gago, K. Beckers, and M. Heisel, "Enhancing Problem Frames with Trust and Reputation for Analyzing Smart Grid Security Requirements",
Smart Grid Security - Second International Workshop, J. Cuellar Eds., LNCS 8448, Springer, pp. 166-180, Aug, 2014. DOI More..
PDF icon moyano14smartgridsec.pdf (404.33 KB)
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)