Publication:
Statistical Analysis in Evaluating STAKCERT Infection, Activation and Payload Methods

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dc.ConferencecodeInt Assoc Engineers, IAENG, Soc Artificial Intelligence, IAENG, Soc of Bioinformat, IAENG, Soc Comp Sci, IAENG, Soc Data Min, IAENG, Soc Elect Engn, IAENG, Soc Imag Engn, IAENG, Soc Ind Engn, IAENG, Soc Informat Syst Engn, IAENG, Soc Internet Comp & Web Serv, IAENG, Soc Mech Engn, IAENG, Soc Operat Res, IAENG, Soc Sci Comp, IAENG, Soc Software Engn, IAENG, Soc Wireless Networks
dc.ConferencedateJUN 30-JUL 02, 2010
dc.ConferencelocationImperial Coll London, London, UNITED KINGDOM
dc.ConferencenameWorld Congress on Engineering (WCE 2010)
dc.contributor.authorSaudi, MMen_US
dc.contributor.authorCullen, AJen_US
dc.contributor.authorWoodward, MEen_US
dc.date.accessioned2024-05-29T02:50:41Z
dc.date.available2024-05-29T02:50:41Z
dc.date.issued2010
dc.description.abstractThis paper presents the result of the statistical analysis on relationship between sub features in STAKCERT worm classification. The sub features of the STAKCERT worm classification in this paper were using the statistical analysis to prove the relationship between the sub features. Prior to that, the static and the dynamic analysis were conducted to identify and prove the association between the main features in STAKCERT worm classification for worm detection. There are limited ways on how the relationship between categorical data can be evaluated and Chi-Square tests and the symmetric measure are seen as the best method to be implemented. The case study presented in this paper explains in details how the Chi-Square tests are used to determine the relationship existed between the sub features and followed by the symmetric measure to quantify the strength of the relationship. This research paper is based on the integration between statistics and computer security field specifically with worm analysis. It can be used as the basis for further exploration in worm detection and isolation study.
dc.identifier.epage479
dc.identifier.issn2078-0958
dc.identifier.scopusWOS:000394059800085
dc.identifier.spage474
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11098
dc.languageEnglish
dc.language.isoen_US
dc.publisherInt Assoc Engineers-Iaengen_US
dc.relation.ispartofWorld Congress On Engineering, Wce 2010, Vol I
dc.sourceWeb Of Science (ISI)
dc.subjectinfectionen_US
dc.subjectactivationen_US
dc.subjectpayloaden_US
dc.subjectChi-Squareen_US
dc.subjectsymmetric measureen_US
dc.titleStatistical Analysis in Evaluating STAKCERT Infection, Activation and Payload Methods
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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