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BDFIS: Binary Decision Access Control Model Based On Fuzzy Inference Systems

Pereira, O. ; Regateiro, D. ; Aguiar, R.

BDFIS: Binary Decision Access Control Model Based On Fuzzy Inference Systems, Proc International Conf. on Software Engineering and Knowledge Engineering - SEKE, Lisbon, Portugal, Vol. , pp. 503 - 508, July, 2019.

Digital Object Identifier: 10.18293/SEKE2019-039

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Access control is a ubiquitous feature in almost all
computer systems, and as data becomes more and more of an
important asset for organizations, so do the associated access
control policies. However, with the increase in the amount of data
being produced, e.g. in IoT and social networks, the interest in
simpler access control is increasing as well since more subjects
(public, researchers, etc.) are now requesting access to it. Defining
the exact conditions to allow each subject to access the data can be
difficult, especially when vaguely defined conditions such as
"expertise of a researcher" come into play. Fuzzy Inference
Systems (FIS) allow to process these vague conditions and enables
access control mechanisms to be more easily applied. The
contribution of this paper lies in showing how a FIS can be used to
output binary access control decisions (grant/deny) and what are
the differences in the inference process that stems from restricting
the output to these two output values.