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Feature request-Malicious URL Detection using NLP #694

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Shy029 opened this issue Oct 31, 2024 · 3 comments
Closed

Feature request-Malicious URL Detection using NLP #694

Shy029 opened this issue Oct 31, 2024 · 3 comments
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enhancement New feature or request

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@Shy029
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Shy029 commented Oct 31, 2024

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.

@Shy029 Shy029 added the enhancement New feature or request label Oct 31, 2024
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Thanks for creating the issue in ML-Nexus!🎉
Before you start working on your PR, please make sure to:

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    Don't forget to follow @UppuluriKalyani – Project Admin – for more updates!
    Tag @Neilblaze,@SaiNivedh26 for assigning the issue to you.
    Happy open-source contributing!☺️

@UppuluriKalyani
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@Shy029 already done by someone

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Hello @Shy029! Your issue #694 has been closed. Thank you for your contribution!

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