Detecting Malicious URLs Using Machine Learning Techniques: Review and Research Directions

Author:

Aljabri Malak1ORCID,Altamimi Hanan S.2ORCID,Albelali Shahd A.2,Al-Harbi Maimunah2,Alhuraib Haya T.2,Alotaibi Najd K.2,Alahmadi Amal A.3,Alhaidari Fahd3ORCID,Mohammad Rami Mustafa A.4ORCID,Salah Khaled5ORCID

Affiliation:

1. Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia

2. Department of Computer Science, College of Computer Science and Information Technology, SAUDI ARAMCO Cybersecurity Chair, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

3. Department of Networks and Communications, College of Computer Science and Information Technology, SAUDI ARAMCO Cybersecurity Chair, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

4. Department of Computer Information Systems, College of Computer Science and Information Technology, SAUDI ARAMCO Cybersecurity Chair, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

5. Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

Funder

SAUDI ARAMCO Cybersecurity Chair at Imam Abdulrahman Bin Faisal University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Reference173 articles.

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