A review of algorithms for determination of attackability metrics

dc.contributor.authorMbuguah, Samuel Mungai
dc.contributor.authorMuketha, Geoffrey Muchiri
dc.contributor.authorWabwoba, Franklin
dc.date.accessioned2019-03-20T15:37:19Z
dc.date.available2019-03-20T15:37:19Z
dc.date.issued2014
dc.description.abstractAttackability is a concept proposed recently in literature to measure the extent that a software system or service could be the target of a successful attack. A Holistic predictive attackability metrics model has been proposed in our previous study. Metrics derived from this model, their theoretical and empirical validation were proposed and evaluated. The method of measurement of these metrics is largely manual this paper illustrates algorithms that can be adopted with suitable tools to automate the collections of the attackability metrics.en_US
dc.identifier.issn2079-8407
dc.identifier.urihttp://erepository.kibu.ac.ke/handle/123456789/289
dc.language.isoenen_US
dc.publisherJournal of Emerging Trends in Computing and Information Sciencesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectMetricsen_US
dc.subjectalgorithmsen_US
dc.subjectattackabilityen_US
dc.titleA review of algorithms for determination of attackability metricsen_US
dc.typeArticleen_US

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