Predicting phishing websites based on self-structuring neural network

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dc.contributor.authorMohammad, Rami M.
dc.contributor.authorThabtah, Fadi
dc.contributor.authorMcCluskey, Lee
dc.date.accessioned2020-10-01T14:20:12Z
dc.date.available2020-10-01T14:20:12Z
dc.date.copyright2013
dc.date.issued2014-08
dc.identifier.citationMohammad, R. M., Thabtah, F., & McCluskey, L. (2014). Predicting phishing websites based on self-structuring neural network. Neural Computing and Applications, 25(2), 443–458. https://doi.org/10.1007/s00521-013-1490-zen_US
dc.identifier.issn09410643
dc.identifier.urihttp://dx.doi.org/10.1007/s00521-013-1490-z
dc.identifier.urihttp://hdl.handle.net/20.500.12519/248
dc.language.isoenen_US
dc.publisherSpringer Londonen_US
dc.relationAuthors Affiliations : Mohammad, R.M., School of Computing and Engineering, University of Huddersfield, Huddersfield, United Kingdom; Thabtah, F., E-Bussiness Department, Canadian University of Dubai, Dubai, United Arab Emirates; McCluskey, L., School of Computing and Engineering, University of Huddersfield, Huddersfield, United Kingdom
dc.relation.ispartofseriesNeural Computing and Applications;Vol. 25, no. 2
dc.rights.holderCopyright :© Springer-Verlag London 2013
dc.subjectData miningen_US
dc.subjectFault toleranceen_US
dc.subjectForecastingen_US
dc.subjectInformation disseminationen_US
dc.subjectInterneten_US
dc.subjectMobile securityen_US
dc.subjectNeural networksen_US
dc.subjectSecurity of dataen_US
dc.subjectSocial networking (online)en_US
dc.subjectWebsitesen_US
dc.subjectConfidential informationen_US
dc.subjectContinuous problemen_US
dc.subjectGeneralization abilityen_US
dc.subjectIntelligent modelingen_US
dc.subjectPhishingen_US
dc.subjectSelf structuring neural networksen_US
dc.subjectSocial security numbersen_US
dc.subjectWeb threaten_US
dc.subjectComputer crimeen_US
dc.titlePredicting phishing websites based on self-structuring neural networken_US
dc.typeArticleen_US

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