πŸ“ž +91-7667918914 | βœ‰οΈ ijireeice@gmail.com
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
← Back to VOLUME 12, ISSUE 5, MAY 2024

Phishing Website Classification Using Machine Learning

Kavita Nale, Swati Kulal, Ankita Masal, B.H. Patil

πŸ‘ 1 viewπŸ“₯ 0 downloads
Share: 𝕏 f in ✈ βœ‰
Abstract: A standard method of deceiving unwary individuals to disclose certain information is phishing. Personal information such as your username, password, and details of online financial transactions shall be collected through Phishing websites. The fishermen use their utilize websites with the identical appearance and language design as official websites. We must employ ant phishing techniques in order to identify phishing attempts as technology for their protection develops. This article discusses about detection strategies and approaches for detecting through machine learning. Attackers often use phishing because it's less difficult to trick victims into clicking harmful links which seem legitimate rather than trying to circumvent computer security.

Keywords: Phishing technique, Machine Learning, anti-phishing, phishing attacks, security and privacy, website features, categories, phishing approaches.

How to Cite:

[1] Kavita Nale, Swati Kulal, Ankita Masal, B.H. Patil, β€œPhishing Website Classification Using Machine Learning,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2024.12528

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.