Machine Learning Methods for Phishing Attacks: Survey

Author:

Medelbekov Mirat1,Nurtas Marat1ORCID

Affiliation:

1. The International University of Information Technologies,Almaty,Kazakhstan

Publisher

IEEE

Reference19 articles.

1. Identification ofphishing attack in websites using random forest-sum hybrid model;pandey;International Conference on Intelligent Systems Design and Applications,2018

2. Phishing Attacks Detection using Machine Learning Approach

3. A Novel Approach for Phishing Emails Real Time Classification Using K-Means Algorithm;mhaske-dhamdhere;International Journal of Computers and Electrical Engineering,2018

4. An Intelligent Classification Model for Phishing Email Detection

5. An Efficient Approach To Detecting Phishing A Web Using K-Means And Naive-Bayes Algorithms With Results;badadhe;International Journal of Advanced Research in Computer Engineering & Technology (IJARCET),2014

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