Malicious URL Behaviour Analysis System
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2024, Vol 10, Issue 9
Abstract
Now a days, A phishing website is a common social engineeringmethod that mimics trustful uniform resource locators (URLs) and webpages. Phishing attacks are done in every field of real life such as Banking, Finance, Social Media, E- Commerce etc. and that attacks are becoming harder to detect.Uniform resource locators (URLs), used for referencing web pages, play a vital role in cyber fraud because of their complicated structure. Many people utilize different websites to make payments and make purchases of goods online. Phishing websites are cyber-attacks that aim to steal sensitive data from internet users, such as financial information and login credentials. These kinds of websites are commonly known as Phishing websites. The "Phishing Website Detection Using Machine Learning Classification Data Mining Algorithms to Identify and Anticipate Phishing Websites" categorizes websites into two groups: phishing and legitimate. Thus, our project is to collect information extracted from URLs by using Machine Learning techniques and to create a graphical user interface that detects whether a URL is a spam URL or a legitimate one and that process, might be essential for spam URL detection, and useful to be secure in order to prevent the phishing attacks in daily life.
Authors and Affiliations
Ch. Venkatesh, Ch. N. P. Mahendra, G. Niranjan, A. Lokesh
Keywords
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- EP ID EP747906
- DOI https://doi.org/10.46501/IJMTST1009021
- Views 37
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