Abstract
In this article, we present a context-based security management system that aims at securing resources in heterogeneous networks. Our approach relies on a federative model, where resources are logically grouped into federations (according to the type of services they provide or according to their physical location, in a business for instance). Security management relies on a set of contextual information collected from the user and the resource environments, and that infers the security level to enforce. These security levels are dynamically deduced using the MAUT algorithm.
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Mostéfaoui, G.K., Kim, M., Chung, M. (2004). Supporting Adaptive Security Levels in Heterogeneous Environments. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3043. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24707-4_65
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DOI: https://doi.org/10.1007/978-3-540-24707-4_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22054-1
Online ISBN: 978-3-540-24707-4
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