URL Phishing Detection System Utilizing Catboost Machine Learning Approach

URL Phishing Detection System Utilizing Catboost Machine Learning Approach

The development of various phishing websites enables hackers to access confidential personal or financial data, thus, decreasing the trust in e-business. This paper compared the detection techniques utilizing URL-based features. To analyze and compare the performance of supervised machine learning c...

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Bibliographic Details
Main Authors: Lim, Chian Fang, Ayop, Zakiah, Anawar, Syarulnaziah, Othman, Nur Fadzilah, Harum, Norharyati, Abdullah, Raihana Syahirah
Format: Article
Language:English
Published: International Journal of Computer Science and Network Security (IJCSNS) 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25543/2/2.3.1.1.1%20IJCSNS%20URL%20PHISHING%20UTILIZING%20CATBOOST%20MACHINE%20LEARNING%20APPROACH.PDF
http://eprints.utem.edu.my/id/eprint/25543/
http://paper.ijcsns.org/07_book/202109/20210939.pdf
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Institution: Universiti Teknikal Malaysia Melaka
Language: English

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http://eprints.utem.edu.my/id/eprint/25543/2/2.3.1.1.1%20IJCSNS%20URL%20PHISHING%20UTILIZING%20CATBOOST%20MACHINE%20LEARNING%20APPROACH.PDF
http://eprints.utem.edu.my/id/eprint/25543/
http://paper.ijcsns.org/07_book/202109/20210939.pdf

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