Uppalapati, Padma Jyothi and Gontla, Bhogesh Karthik and Gundu, Priyanka and Hussain, S Mahaboob and Narasimharo, Kandula (2023) A Machine Learning Approach to Identifying Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
Phishing assaults are one of the more prevalent types of cybercrime in the world today. To steal information, users are sent emails and messages. Moreover, websites are used for it. Phishing primarily targets corporate web-sites, such as those for e-commerce, finance, and governmental organizations.
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 16:38 |
| Last Modified: | 11 Apr 2026 06:52 |
| URI: | http://eprints.eai.eu/id/eprint/44640 |
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