Publication:
A method to measure the efficiency of phishing emails detection features

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dc.Conferencecode106450
dc.Conferencedate6 May 2014 through 9 May 2014
dc.ConferencelocationSeoul
dc.Conferencename5th International Conference on Information Science and Applications, ICISA 2014
dc.citedby5
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorAl-Daeef M.M.en_US
dc.contributor.authorBasir N.en_US
dc.contributor.authorSaudi M.M.en_US
dc.date.accessioned2024-05-29T01:55:27Z
dc.date.available2024-05-29T01:55:27Z
dc.date.issued2014
dc.description.abstractPhishing is a threat in which users are sent fake emails that urge them to click a link (URL) which takes to a phisher's website. At that site, users' accounts information could be lost. Many technical and non-technical solutions have been proposed to fight phishing attacks. To stop such attacks, it is important to select the correct feature(s) to detect phishing emails. Thus, the current work presents a new method to selecting more efficient feature in detecting phishing emails. Best features can be extracted from email's body (content) part. Keywords and URLs are known features that can be extracted from email's body part. These two features are very relevant to the three general aspects of email, these aspects are, email's sender, email's content, and email's receiver. In this work, three effectiveness criteria were derived based on these aspects of email. Such criteria were used to evaluate the efficiency of Keywords and URLs features in detecting phishing emails by measuring their Effectiveness Metric (EM) values. The experimental results obtained from analyzing more than 8000 ham (legitimate) and phishing emails from two different datasets show that, relying upon the URLs feature in detecting phishing emails will predominantly give more precise results than relying upon the Keywords feature in a such task. � 2014 IEEE.
dc.description.natureFinalen_US
dc.identifier.ArtNo6847332
dc.identifier.doi10.1109/ICISA.2014.6847332
dc.identifier.isbn9781480000000
dc.identifier.scopus2-s2.0-84904490796
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84904490796&doi=10.1109%2fICISA.2014.6847332&partnerID=40&md5=490c93af499115faa381f5fa4b9d1981
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9702
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofICISA 2014 - 2014 5th International Conference on Information Science and Applications
dc.sourceScopus
dc.subjectEffectiveness metricen_US
dc.subjectEmailsen_US
dc.subjectHamen_US
dc.subjectKeywords featureen_US
dc.subjectPhishingen_US
dc.subjectPhishing emailsen_US
dc.subjectUrls featureen_US
dc.subjectComputer crimeen_US
dc.subjectFeature extractionen_US
dc.subjectInformation scienceen_US
dc.subjectEffectiveness metricen_US
dc.subjectEmailsen_US
dc.subjectHamen_US
dc.subjectKeywords featureen_US
dc.subjectPhishingen_US
dc.subjectElectronic mailen_US
dc.titleA method to measure the efficiency of phishing emails detection features
dc.typeConference Paperen_US
dspace.entity.typePublication

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