PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection.

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Title: PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection.
Authors: Jain A; Department of Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, India., Khan S; College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Koli K; Department of Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, India., Taneja H; School of Engineering and Technology, BML Munjal University, Gurugram, Haryana, India. harshtaneja.cse@gmail.com., Panwar A; School of computer science and engineering, Galgotias University, Greater Noida, Uttar Pradesh, 201308, India., Alshammari T; Saudi Electronic University, Riyadh, Saudi Arabia., Obaid EM; College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia., Abdu SM; Department of Computer Science, Woldia University, Weldiya, Ethiopia. seid.m@wldu.edu.et.
Source: Scientific reports [Sci Rep] 2025 Dec 06; Vol. 16 (1), pp. 1480. Date of Electronic Publication: 2025 Dec 06.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection.
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  Data: <searchLink fieldCode="AU" term="%22Jain+A%22">Jain A</searchLink>; Department of Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Khan+S%22">Khan S</searchLink>; College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Koli+K%22">Koli K</searchLink>; Department of Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Taneja+H%22">Taneja H</searchLink>; School of Engineering and Technology, BML Munjal University, Gurugram, Haryana, India. harshtaneja.cse@gmail.com.<br /><searchLink fieldCode="AU" term="%22Panwar+A%22">Panwar A</searchLink>; School of computer science and engineering, Galgotias University, Greater Noida, Uttar Pradesh, 201308, India.<br /><searchLink fieldCode="AU" term="%22Alshammari+T%22">Alshammari T</searchLink>; Saudi Electronic University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Obaid+EM%22">Obaid EM</searchLink>; College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Abdu+SM%22">Abdu SM</searchLink>; Department of Computer Science, Woldia University, Weldiya, Ethiopia. seid.m@wldu.edu.et.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Dec 06; Vol. 16 (1), pp. 1480. <i>Date of Electronic Publication: </i>2025 Dec 06.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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        Value: 10.1038/s41598-025-31447-7
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      – TitleFull: PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection.
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              Text: 2025 Dec 06
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