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Retaining Consistency for Knowledge-Based Security Testing

Authors: Andreas Bernauer; Josip Bozic; Dimitris E. Simos; Severin Winkler; Franz Wotawa;

Retaining Consistency for Knowledge-Based Security Testing

Abstract

Testing of software and systems requires a set of inputs to the system under test as well as test oracles for checking the correctness of the obtained output. In this paper we focus on test oracles within the domain of security testing, which require consistent knowledge of security policies. Unfortunately, consistency of knowledge cannot always be ensured. Therefore, we strongly require a process of retaining consistencies in order to provide a test oracle. In this paper we focus on an automated approach for consistency handling that is based on the basic concepts and ideas of model-based diagnosis. Using a brief example, we discuss the underlying method and its application in the domain of security testing. The proposed algorithm guarantees to find one root cause of an inconsistency and is based on theorem proving.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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