A domain-feature enhanced classification model for the detection of Chinese phishing e-Business websites
DC Field | Value | Language |
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dc.contributor.author | Zhang, Dongsong | - |
dc.contributor.author | Yan, Zhijun | - |
dc.contributor.author | Jiang, Hansi | - |
dc.contributor.author | Kim, Taeha | - |
dc.date.available | 2019-03-08T20:57:09Z | - |
dc.date.issued | 2014-11 | - |
dc.identifier.issn | 0378-7206 | - |
dc.identifier.issn | 1872-7530 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/11630 | - |
dc.description.abstract | We propose a novel classification model that consists of features of website URLs and content for automatically detecting Chinese phishing e-Business websites. The model incorporates several unique domain-specific features of Chinese e-Business websites. We evaluated the proposed model using four different classification algorithms and approximately 3,000 Chinese e-Business websites. The results show that the Sequential Minimal Optimization (SMO) algorithm performs the best. The proposed model outperforms two baseline models in detection precision, recall, and F-measure. The results of a sensitivity analysis demonstrate that domain-specific features have the most significant impact on the detection of Chinese phishing e-Business websites. (C) 2014 Elsevier B.V. All rights reserved. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | A domain-feature enhanced classification model for the detection of Chinese phishing e-Business websites | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.im.2014.08.003 | - |
dc.identifier.bibliographicCitation | INFORMATION & MANAGEMENT, v.51, no.7, pp 845 - 853 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000343354400002 | - |
dc.identifier.scopusid | 2-s2.0-84907567967 | - |
dc.citation.endPage | 853 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 845 | - |
dc.citation.title | INFORMATION & MANAGEMENT | - |
dc.citation.volume | 51 | - |
dc.type.docType | Article | - |
dc.publisher.location | 네델란드 | - |
dc.subject.keywordAuthor | Phishing websites | - |
dc.subject.keywordAuthor | E-business | - |
dc.subject.keywordAuthor | Classification | - |
dc.subject.keywordAuthor | Detection | - |
dc.subject.keywordAuthor | Feature vectors | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Information Science & Library Science | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Information Science & Library Science | - |
dc.relation.journalWebOfScienceCategory | Management | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
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