Please use this identifier to cite or link to this item: http://148.72.244.84:8080/xmlui/handle/xmlui/4197
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dc.contributor.authorHala Bahjet Abdul Wahab-
dc.contributor.authorThikra M. Abed-
dc.date.accessioned2023-10-17T10:04:14Z-
dc.date.available2023-10-17T10:04:14Z-
dc.date.issued2018-
dc.identifier.citationhttp://dx.doi.org/10.24237/djps.1403.419Ben_US
dc.identifier.issn2222-8373-
dc.identifier.urihttp://148.72.244.84:8080/xmlui/handle/xmlui/4197-
dc.description.abstractPhishing techniques have not just developed in number, but as well in sophistication. Phishers could have plenty of approaches and techniques to conduct a well-designed phishing attack. Developing countries such as Iraq may have been facing Internet threats like phishing. This paper aim to proposed efficient the phishing detection method. The proposed algorithm utilizes five information sources Google, Yahoo, Startpage, Bing and Mozilla then analyze the information retrieval from five search engines to characterize phishing site. The Several research techniques using single information source protection from Phishing which leads to inaccuracy in results. The proposed algorithm run online with combined between precision the analysis and strong the search engines. The experimental results which implement on 1000 URL demonstrate rate the true positive as 97.4% and the false positive rate 2.6% with true negative as 98.8% and false negative 1.2%.en_US
dc.description.sponsorshiphttps://djps.uodiyala.edu.iq/en_US
dc.language.isoenen_US
dc.publisheruniversity of Diyalaen_US
dc.subjectAnti-Phishing, Online Security, Phishing attacks, Browsers.en_US
dc.titleProposed Approach to Detect Phishing Webpage Based on Multi-Browsersen_US
dc.typeArticleen_US
Appears in Collections:مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.)

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