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Prediction and Prevention of Malicious URL Using ML and LR Techniques for Network Security: Machine Learning
Abstract
Understandable URLs are utilized to recognize billions of websites hosted over the present-day internet. Opposition who tries to get illegal admittance to the classified data may use malicious URLs and present them as URLs to users. Such URLs that act as an entry for the unrequested actions are known as malicious URLs. These wicked URLs can cause unethical behavior like theft of confidential and classified data. By using machine learning algorithm SVM, we can detect the malicious URLs. One of the essential features is to permit the benevolent URLs that are demanded by the customer and avoid the malicious URLs. Blacklisting is one of the basic and trivial mechanisms in detecting malicious URLs.
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