Detecting and Classifying Phishing Websites by Machine Learning

Author:

Fan Zichen1

Affiliation:

1. China Agricultural University

Publisher

IEEE

Reference29 articles.

1. A comparison of machine learning techniques for phishing detection

2. Improved phishing detection using model-based features[C];bergholz;CEAS 2008 - Fifth Conference on Email and Anti-Spam,0

3. B-APT: Bayesian Anti-Phishing Toolbar

4. Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach

5. Depth Detection System for Phishing Web Pages Based on Ensemble Learning;qing;Trusted Computing and Information Assurance Laboratory,2016

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comparative Study on the Performance of Machine learning Algorithms for Malware Detection and Classification;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

2. Vision GNN Based Phishing Website Detection;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

3. Phishing Detection Using Machine Learning Techniques;2023 3rd Asian Conference on Innovation in Technology (ASIANCON);2023-08-25

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