… and deep learning techniques. In this paper, we propose a malicious URL detection method
using machine learning techniques based on our proposed URL behaviors and attributes. …

… -time detection of phishing web pages by investigating the URL of the web page with different
machine learning … In the execution of a learning algorithm, not only the dataset but also the …

… machine learning-based phishing detection system that can help users to check the legitimacy
and maliciousness of an URL … feature vectors from URL whenever a user visits that URL. …

… In this paper, the malicious URLs detection is treated as a binary classification problem
and performance of several well-known classifiers are tested with test data. The algorithms …

… of an ensemble machine learning approach in detecting malicious URLs delivered in emails…
URL detection. Blacklists are a common and classic method for detecting malicious URLs …

… the Uniform Resource Locator (URL) through which malicious … to detect malicious links on
the web using a machine learning … The embedding of malicious URLs is a predominant web …

… This paper presents the new method for malicious URL detection with fewer number of
features extracted only from URL. That reduces execution time and storage requirements. It also …

… on the use of machine learning-based anomaly detection due to its dynamic … a machine
learning-based phishing detection system by using eight different algorithms to analyze the URLs…

… In this paper, the approach used for URL classification is most closely related to [11]
where a wide range of Machine Learning algorithms (for URL detection) such as SVM, KNN, …

… In this paper, we address the detection of malicious URLs as a binary classification … machine
learning classifiers. We adopted a public dataset from Kaggle comprising of 450000 URLs …