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. |
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| 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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