Phishing Detection System Through Hybrid Machine Learning Based on URL-Reference-Cited by-同舟云学术

Phishing Detection System Through Hybrid Machine Learning Based on URL

Author:

Karim Abdul¹^ORCID,Shahroz Mobeen²^ORCID,Mustofa Khabib¹^ORCID,Belhaouari Samir Brahim³^ORCID,Joga S. Ramana Kumar⁴^ORCID

Affiliation:

1. Department of Computer Science and Electronics, Universitas Gadjah Mada, Yogyakarta, Indonesia

2. Department of Artificial Intelligence, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan

3. Division of Information and Computer Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

4. Dadi Institute of Engineering and Technology, Anakapalle, Andhra Pradesh, India

Funder

Student’s Final Project Recognition RTA (Rekognisi Tugas Akhir) Grant for the fiscal year 2022

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference76 articles.

4. Beyond independence: Conditions for the optimality of the simple Bayesian classier;domingos;Proc 13th Int Conf Mach Learn,1996

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