Malicious URLs Detection Based on Machine Learning
Long Zhang, Lei Hun · 2024
This article conducts relevant research on the detection of malicious URLs. In response to the limitations of traditional blacklist mechanisms in identifying newly emerging malicious websites, this article conducts statistical analysis on a large number of malicious and normal websites, uses machine learning algorithms for feature extraction and model training, and achieves effective detection and identification of newly emerging malicious URLs.