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dc.contributor.authorWang, Yunjia
dc.contributor.authorDuncan, Ishbel Mary Macdonald
dc.date.accessioned2019-06-10T10:30:07Z
dc.date.available2019-06-10T10:30:07Z
dc.date.issued2019-10-31
dc.identifier.citationWang , Y & Duncan , I M M 2019 , A novel method to prevent phishing by using OCR technology . in 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security) . , 8885101 , IEEE Computer Society , pp. 1-5 , Cyber Science 2019 , Oxford , United Kingdom , 3/06/19 . https://doi.org/10.1109/CyberSecPODS.2019.8885101en
dc.identifier.citationconferenceen
dc.identifier.isbn9781728102306
dc.identifier.isbn9781728102290
dc.identifier.otherPURE: 263391846
dc.identifier.otherPURE UUID: 20a76553-14d6-45d2-b947-7c0e978fa785
dc.identifier.otherORCID: /0000-0001-7297-9199/work/58531605
dc.identifier.otherScopus: 85074987302
dc.identifier.urihttps://hdl.handle.net/10023/17853
dc.description.abstractPhishing is one of the most common attacks in the world, especially with the increasing usage of mobile platforms and e-commerce. Although many users are weary of phishing attacks from suspicious paths in the URL address, phishing still accounts for a large proportion of all of malicious attacks as it is easy to deploy. Most browser vendors mainly adopt two approaches against phishing; the blacklist and the heuristic-based. However, both have related limitations. In this paper, a novel method was proposed to protect against phishing attacks. By using image recognition (OCR) technology, phishing attacks can be distinguished from the actual website by reading the logos on the website and comparing with the site URL. An easy to implement prototype demonstrated a high accuracy of detection in the experimental trials.
dc.format.extent5
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartof2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)en
dc.rights© Copyright 2019, IEEE. This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/CyberSecPODS.2019.8885101en
dc.subjectPhishingen
dc.subjectOCRen
dc.subjectPhishing preventionen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT Technologyen
dc.subject3rd-DASen
dc.subject.lccQA75en
dc.subject.lccTen
dc.titleA novel method to prevent phishing by using OCR technologyen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1109/CyberSecPODS.2019.8885101
dc.date.embargoedUntil2019-06-10
dc.identifier.urlhttp://hdl.handle.net/10023/17853en


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