Security contexts in autonomic systems

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Abstract

Autonomic Computing Systems (ACS) are expected to achieve the same level of self-regulation and pervasiveness as human autonomic systems. Because of the features of ACS, the traditional security model can not be applied to ACS any more. The goal of our research is to develop a context-based security model and architecture for ACS. Our focus is on self-protection feature of ACS. The self-protection feature is enforced through security contexts that we define. By taking security contexts into account, security policies can dynamic change in order to cope with new environment. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Wan, K., & Alagar, V. (2007). Security contexts in autonomic systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4456 LNAI, pp. 806–816). Springer Verlag. https://doi.org/10.1007/978-3-540-74377-4_84

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