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Malcious Url Detection Using Machine Learning by cybermounika is a document available to read on EtoBox.

What is Malcious Url Detection Using Machine Learning about?

The document discusses the increasing risk of network information insecurity due to malicious URLs and proposes a detection method using machine learning techniques. It highlights the importance of analyzing URL behaviors and attributes to improve detection accuracy, utilizing algorithms like Support Vector Machine (SVM) and Random Forest (RF). The proposed system aims to provide an optimized solution for identifying malicious URLs, leveraging big data technology and new feature extraction methods.

Author

cybermounika

Language

EN