Publication:
Hybrid Model of Phishing Email Detection: A Combination of Technical and Non-Technical Anti-Phishing Approaches

Simple item page
dc.ConferencecodeInt Assoc Engineers, IAENG, Soc Artificial Intelligence, IAENG, Soc Bioinformat, IAENG, Soc Comp Sci, IAENG, Soc Data Min, IAENG, Soc Elect Engn, IAENG, Soc HIV AIDS, 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.ConferencedateOCT 25-27, 2017
dc.ConferencelocationSan Francisco, CA
dc.ConferencenameWorld Congress on Engineering and Computer Science, WCES 2017
dc.contributor.authorAl-Daeef, MMen_US
dc.contributor.authorBasir, Nen_US
dc.contributor.authorSaudi, MMen_US
dc.date.accessioned2024-05-29T03:27:25Z
dc.date.available2024-05-29T03:27:25Z
dc.date.issued2017
dc.description.abstractPhishing is a cybercrime in which, attackers try to fraudulently retrieve users' credentials by mimicking trusted communication channels. The problem with phishing is that attackers still able to bypass anti-phishing automated systems through the human factor. It is not enough, therefore, to only add new technologies, aware users might play the key role in stopping phishing attacks. Based on that, phishing problem requires defense solutions that to be applied at both of the technical (automated systems) and non-technical (human) aspects. Phishing attacks, in general, are initiated through simulated emails with a false claim of being sent from trusted parties. The work in this paper is dedicated to fighting phishing threats at email's level in order to kill this type of attacks in the cradle. Users, therefore, are protected at a level which is prior of browsing phishing web pages. This paper proposes an anti-phishing model that designed based on the general taxonomy of the technical and non-technical aspects of phishing detection approaches. This paper, in addition, presents the general structure of the proposed anti-phishing system that developed based on the herein proposed model. The novelty of this model is the approach of combining both of the automated procedures with users' anti-phishing training method to detect phishing emails.
dc.identifier.epage168
dc.identifier.issn2078-0958
dc.identifier.scopusWOS:000418106200033
dc.identifier.spage165
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/12212
dc.languageEnglish
dc.language.isoen_US
dc.publisherInt Assoc Engineers-Iaengen_US
dc.relation.ispartofWorld Congress On Engineering And Computer Science, Wcecs 2017, Vol I
dc.sourceWeb Of Science (ISI)
dc.subjectimmunity approachen_US
dc.subjectphishing emailen_US
dc.subjecttechnical solutionsen_US
dc.subjectuser awarenessen_US
dc.subjectURL-based classification featureen_US
dc.titleHybrid Model of Phishing Email Detection: A Combination of Technical and Non-Technical Anti-Phishing Approaches
dc.typeProceedings Paperen_US
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Hybrid Model of Phishing Email Detection' A Combination of Technical and Non-Technical Anti-Phishing Approaches.pdf
Size:
1.31 MB
Format:
Adobe Portable Document Format
Download

Collections

Web of Science_WoS