Expert Phishing Detection System-Reference-Cited by-同舟云学术

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Expert Phishing Detection System

Published:2024-07-04 Issue: Volume:34 Page:54-59
ISSN:
Container-title:2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
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Author:

Alsarhan Ayoub¹,Al-Aiash Issa²,Al-Fraihat Dimah³,Aljaidi Mohammad⁴,Al Hakem Abu Laila Dena Abd⁵

Affiliation:

1. The Hashemite University,Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology,Department of Information Technology,Zarqa,Jordan,13133

2. The Hashemite University,Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology,Department of Cybersecurity,Zarqa,Jordan,13133

3. Isra University,Faculty of Information Technology,Department of Software Engineering,Amman,Jordan,11622

4. Zarqa University,Faculty of Information Technology,Department of Computer Science,Zarqa,Jordan,13110

5. Zarqa Technical Intermediate College,Faculty of Information Technology,Department of Cyber Security,Zarqa,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616252/10617449/10617460.pdf?arnumber=10617460

Reference41 articles.

1. Mitigation strategies against the phishing attacks: A systematic literature review

2. AI@ntiPhish — Machine Learning Mechanisms for Cyber-Phishing Attack

3. PhishHaven—An Efficient Real-Time AI Phishing URLs Detection System

4. Intrusion detection in cloud computing based on time series anomalies utilizing machine learning

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