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Detection of Malicious Websites Using Machine Learning Techniques. (arXiv:2209.09630v1 [cs.CR])
Sept. 21, 2022, 1:20 a.m. | Adebayo Oshingbesan, Courage Ekoh, Chukwuemeka Okobi, Aime Munezero, Kagame Richard
cs.CR updates on arXiv.org arxiv.org
In detecting malicious websites, a common approach is the use of blacklists
which are not exhaustive in themselves and are unable to generalize to new
malicious sites. Detecting newly encountered malicious websites automatically
will help reduce the vulnerability to this form of attack. In this study, we
explored the use of ten machine learning models to classify malicious websites
based on lexical features and understand how they generalize across datasets.
Specifically, we trained, validated, and tested these models on different …
detection machine machine learning malicious techniques websites
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