A Comprehensive Survey of Phishing Email Detection and Protection Techniques-Reference-Cited by-同舟云学术

A Comprehensive Survey of Phishing Email Detection and Protection Techniques

Published:2021-09-15 Issue: Volume: Page:1-30
ISSN:1939-3555
Container-title:Information Security Journal: A Global Perspective
language:en
Short-container-title:Information Security Journal: A Global Perspective

Author:

Kumar Birthriya Santosh¹,Jain Ankit Kumar¹

Affiliation:

1. Department of Computer Engineering, National Institute of Technology, Kurukshetra, India

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/19393555.2021.1959678

Reference105 articles.

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2. Abu-Nimeh, S., Nappa, D., Wang, X. & Nair, S. (2007). A comparison of machine learning techniques for phishing detection. In Proceedings of the anti-phishing working groups 2nd annual ecrime researchers summit (pp. 60–69). ACM: Pittsburgh, PA

3. Battering Keyloggers and Screen Recording Software by Fabricating Passwords

4. Al Halaseh, R. & Alqatawna, J. (2016). Analyzing cybercrimes strategies: the case of phishing attack. In 2016 cybersecurity and cyberforensics conference (ccc) (pp. 82–88). IEEE: Amman, Jordan

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