… After preprocessing, many machine learning algorithms have been applied and designed to
prevent phishing URLs and provide protection to the user. This study uses machine learning …

… These features are extracted from various sources like URL, search engine page source,
website traffic, search engine, DNS, etc. The existing machine learning based methods extract …

… In this paper, using machine learning techniques, we gave a detailed … URL detection. Here,
we compared three different machine learning approaches to identify whether the URL is a …

… is to identify the best machine learning algorithm for detecting phishing URLs by comparing
… machine learning in terms of phishing detection despite the use of unfavorable ML learning …

… sites and URL addresses. As … detect recent malware attacks and develop scanning engines.
This chapter aims to present the basics of machine learning-based malicious URL detection. …

… improving the performance of URL based detection techniques. We show … URL based
detection techniques (which is the topic of this paper) in detail followed by page based detection …

… is required to detect malicious URLs and identify their nature attack. This study aims to
assess the efficiency of the machine learning approach to detect and identify malicious URLs. In …

… Machine Learning (… Machine Learning based classifiers on the basis of datasets used,
feature extraction techniques and performance measures used for the detection of phishing URLs. …

… networks requires automated methods to detect and eliminate such content. This paper
describes a supervised machine learning classification model that has been built to detect the …

… Our system employs machine learning techniques such as neural networks and decision …
a) We provide a machine learning-based detection system of phishing websites using URL …