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dc.contributor.authorMbuguah, Samuel Mungai
dc.contributor.authorMwangi, Waweru
dc.contributor.authorSong', Pang Chol
dc.contributor.authorMuchiri, Geoffrey Muketha
dc.date.accessioned2019-03-20T16:03:59Z
dc.date.available2019-03-20T16:03:59Z
dc.date.issued2012
dc.identifier.issn2223-4985
dc.identifier.urihttp://erepository.kibu.ac.ke/handle/123456789/296
dc.description.abstractSoftware based systems are ubiquitous in modern day operations. There has been an increase in software based system attacks; leading to the need to equip the project managers, software designers and software developers with a better predictive attackability model at the architectural design stage. Attackability is a concept proposed recently in research literature to measure the extent that a software system or service could be the target of a successful attack. A literature survey of existing technical models was carried out to identify gaps in them. Also, a literature survey on, human traits that lead to human beings and the software system they man being subject to social engineering attacks was undertaken. Then a conceptual model has been proposed to extend the existing technical model and incorporate a social attackability model to produce a holistic predictive attackability model.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Information and Communication Technology Researchen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectAttackabilityen_US
dc.subjectInternal attributesen_US
dc.subjectmodelen_US
dc.subjectexternal attributesen_US
dc.subjectmetricen_US
dc.titleA conceptual model for a holistic predictive attack ability metric for secure service oriented architecture softwareen_US
dc.typeArticleen_US


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Attribution-NonCommercial-ShareAlike 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States