A review of phishing email detection approaches with deep learning algorithm implementation
Phishing email is designed to mimics the legitimate emails to fool the victim into revealing their confidential information for the phisher's benefit. There have been many approaches in detecting phishing emails but the whole solution is still needed as the weaknesses of the previous and curr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Scopus
2020
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/26045/1/A%20review%20of%20phishing%20email%20detection%20approaches%20with%20deep%20learning%20algorithm%20implementation.pdf https://eprints.ums.edu.my/id/eprint/26045/ |
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| Summary: | Phishing email is designed to mimics the legitimate emails to fool the victim into revealing their confidential
information for the phisher's benefit. There have been many approaches in detecting phishing emails but
the whole solution is still needed as the weaknesses of the previous and current approaches are being
manipulated by phishers to make phishing attack works. This paper provides an organized guide to present
the wide state of phishing attack generally and phishing email specifically. This paper also categorizes
machine learning into shallow learning and deep learning, followed by related works in each category with
their contributions and drawbacks. The main objective of this review is to uncover the utility of machine
learning in general, and deep learning in particular, in order to detect phishing email by studying the
literature. This will provide an insight of the phishing issue, the alternatives prior to the phishing email
detection and the contrast of machine learning and deep learning approaches in detecting phishing emails. |
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