{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T12:04:03Z","timestamp":1747224243183,"version":"3.40.5"},"reference-count":0,"publisher":"IGI Global","issue":"1","license":[{"start":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T00:00:00Z","timestamp":1654819200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T00:00:00Z","timestamp":1654819200000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T00:00:00Z","timestamp":1654819200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,10]]},"abstract":"<p>Phishing attack is a deceitful attempt to steal the confidential data such as credit card information, and account passwords. In this paper, Phish-Shelter, a novel anti-phishing browser is developed, which analyzes the URL and the content of phishing page. Phish-Shelter is based on combined supervised machine learning model.Phish-Shelter browser uses two novel feature set, which are used to determine the web page identity. The proposed feature sets include eight features to evaluate the obfuscation-based rule, and eight features to identify search engine. Further, we have taken eleven features which are used to discover contents, and blacklist based rule. Phish-Shelter exploited matching identity features, which determines the degree of similarity of a URL with the blacklisted URLs. Proposed features are independent from third-party services such as web browser history or search engines result. The experimental results indicate that, there is a significant improvement in detection accuracy using proposed features over traditional features.<\/p>","DOI":"10.4018\/jitr.2022010104","type":"journal-article","created":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T20:49:27Z","timestamp":1635540567000},"page":"1-23","source":"Crossref","is-referenced-by-count":0,"title":["Phish-Shelter"],"prefix":"10.4018","volume":"15","author":[{"given":"Rizwan Ur","family":"Rahman","sequence":"first","affiliation":[{"name":"Maulana Azad National Institute of Technology, Bhopal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7206-2794","authenticated-orcid":true,"given":"Lokesh","family":"Yadav","sequence":"additional","affiliation":[{"name":"Maulana Azad National Institute of Technology, Bhopal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak Singh","family":"Tomar","sequence":"additional","affiliation":[{"name":"Maulana Azad National Institute of Technology, Bhopal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak Singh","family":"Tomar","sequence":"additional","affiliation":[{"name":"Maulana Azad National Institute of Technology, Bhopal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","container-title":["Journal of Information Technology Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=282709","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,31]],"date-time":"2023-03-31T16:56:04Z","timestamp":1680281764000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/JITR.2022010104"}},"subtitle":["A Novel Anti-Phishing Browser Using Fused Machine Learning"],"short-title":[],"issued":{"date-parts":[[2022,6,10]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"URL":"https:\/\/doi.org\/10.4018\/jitr.2022010104","relation":{},"ISSN":["1938-7857","1938-7865"],"issn-type":[{"type":"print","value":"1938-7857"},{"type":"electronic","value":"1938-7865"}],"subject":[],"published":{"date-parts":[[2022,6,10]]}}}