Security Contexts in Autonomic Systems

Authors:
Kaiyu Wan;Vasu Alagar
Affiliations:
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada;Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
Venue:
Computational Intelligence and Security
Year:
2007

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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 contextsthat we define. By taking security contexts into account, security policies can dynamic change in order to cope with new environment.