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For the Malicious URL Detection using NLP project, I propose developing a machine learning model to classify URLs as either "good" (benign) or "bad" (malicious) by analyzing their lexical and structural features. Using NLP techniques, we can break down URLs to reveal patterns associated with malicious behavior, such as unusual domain names or suspicious keyword combinations. Applying methods like TF-IDF and n-gram analysis, the model will convert URLs into vectorized formats to enable efficient classification. This tool will provide an automated, accurate solution for distinguishing safe URLs from potential threats.
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For the Malicious URL Detection using NLP project, I propose developing a machine learning model to classify URLs as either "good" (benign) or "bad" (malicious) by analyzing their lexical and structural features. Using NLP techniques, we can break down URLs to reveal patterns associated with malicious behavior, such as unusual domain names or suspicious keyword combinations. Applying methods like TF-IDF and n-gram analysis, the model will convert URLs into vectorized formats to enable efficient classification. This tool will provide an automated, accurate solution for distinguishing safe URLs from potential threats.
please assign this to me.
The text was updated successfully, but these errors were encountered: