Feature Extraction-Based Phishing URL Detection Using Machine Learning Techniques

Author:

Murthy Kolati Sri Rama Chandra,Bhattacharya Tanay,Rajagopalan Narendran

Publisher

Springer Singapore

Reference11 articles.

1. Anti-Phishing Working Group Home page. https://apwg.org

2. Anti-Phishing Working Group’s Phishing activity trends report 2nd quarter 2020. https://docs.apwg.org/reports/apwg_trends_report_q2_2020.pdf

3. Sonmez Y, Tuncer T. Phishing web sites features classification based on extreme learning machine. https://ieeexplore.ieee.org/document/8355342

4. Sanglerdsinlapachai N, Rungsawang A. Using domain top-page similarity feature in machine learning-based web phishing detection. https://ieeexplore.ieee.org/document/5432672

5. Alkawaz MH, Steven S. Detecting phishing website using machine learning. https://ieeexplore.ieee.org/document/9068728

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1. Feature extraction based ensemble stacking for combating cyber threat in phishing URLs;2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2023-01-05

2. A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges;SECURITY AND PRIVACY;2022-10-17

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