Precise URL Phishing Detection Using Neural Networks

• URL: http://arxiv.org/abs/2110.13424v1
• Date: Tue, 26 Oct 2021 05:55:53 GMT
• Title: Precise URL Phishing Detection Using Neural Networks
• Authors: Aman Rangapur, Dr Ajith Jubilson
• Abstract summary: We present you with ways to detect such malicious URLs with state of art accuracy with neural networks. Different from previous works, where web content, URL or traffic statistics are examined, we analyse only the URL text. The network is optimised and can be used even on small devices such as Ras-Pi without a change in performance.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: With the development of the Internet, ways of obtaining important data such as passwords and logins or sensitive personal data have increased. One of the ways to extract such information is page impersonation, also called phishing. Such websites do not provide service but collect sensitive details from the user. Here, we present you with ways to detect such malicious URLs with state of art accuracy with neural networks. Different from previous works, where web content, URL or traffic statistics are examined, we analyse only the URL text, making it faster and which detects zero-day attacks. The network is optimised and can be used even on small devices such as Ras-Pi without a change in performance.

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