architecture and knowledge-driven self-adaptive security in smart space

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ID: 141149
2013
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Abstract
Dynamic and heterogeneous smart spaces cause challenges for security because it is impossible to anticipate all the possible changes at design-time. Self-adaptive security is an applicable solution for this challenge. This paper presents an architectural approach for security adaptation in smart spaces. The approach combines an adaptation loop, Information Security Measuring Ontology (ISMO) and a smart space security-control model. The adaptation loop includes phases to monitor, analyze, plan and execute changes in the smart space. The ISMO offers input knowledge for the adaptation loop and the security-control model enforces dynamic access control policies. The approach is novel because it defines the whole adaptation loop and knowledge required in each phase of the adaptation. The contributions are validated as a part of the smart space pilot implementation. The approach offers reusable and extensible means to achieve adaptive security in smart spaces and up-to-date access control for devices that appear in the space. Hence, the approach supports the work of smart space application developers.
Reference Key
evesti2013computersarchitecture Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Antti Evesti;Jani Suomalainen;Eila Ovaska
Journal infectious diseases in obstetrics and gynecology
Year 2013
DOI
10.3390/computers2010034
URL
http://www.mdpi.com/2073-431X/2/1/34
Keywords
architecture authentication ontology computer science

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