Workflow of Machine Learning–Based Phishing Website Detection and Comparative Model Evaluation (IMAGE)

Sultan Qaboos University

Workflow of Machine Learning–Based Phishing Website Detection and Comparative Model Evaluation

Caption

The figure shows a data-driven approach to phishing detection, using three datasets to train and compare multiple machine-learning models. Random Forest and Cubic SVM achieved the highest detection accuracy.

Credit

The Journal of Engineering Research, SQU

Usage Restrictions

Not be used without mentioning the source; The Journal of Engineering Research

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.