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A novel method to prevent phishing by using OCR technology
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dc.contributor.author | Wang, Yunjia | |
dc.contributor.author | Duncan, Ishbel Mary Macdonald | |
dc.date.accessioned | 2019-06-10T10:30:07Z | |
dc.date.available | 2019-06-10T10:30:07Z | |
dc.date.issued | 2019-10-31 | |
dc.identifier.citation | Wang , 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.2019.8885101 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781728102306 | |
dc.identifier.isbn | 9781728102290 | |
dc.identifier.other | PURE: 263391846 | |
dc.identifier.other | PURE UUID: 20a76553-14d6-45d2-b947-7c0e978fa785 | |
dc.identifier.other | ORCID: /0000-0001-7297-9199/work/58531605 | |
dc.identifier.other | Scopus: 85074987302 | |
dc.identifier.uri | https://hdl.handle.net/10023/17853 | |
dc.description.abstract | Phishing 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.extent | 5 | |
dc.language.iso | eng | |
dc.publisher | IEEE Computer Society | |
dc.relation.ispartof | 2019 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.2019.8885101 | en |
dc.subject | Phishing | en |
dc.subject | OCR | en |
dc.subject | Phishing prevention | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | T Technology | en |
dc.subject | 3rd-DAS | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | T | en |
dc.title | A novel method to prevent phishing by using OCR technology | en |
dc.type | Conference item | en |
dc.description.version | Postprint | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | https://doi.org/10.1109/CyberSecPODS.2019.8885101 | |
dc.date.embargoedUntil | 2019-06-10 | |
dc.identifier.url | http://hdl.handle.net/10023/17853 | en |
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