A Review of Different Content-Based Phishing Email Detection Methods

Phishing emails are the biggest issue affecting internet services today, as they cause financial losses to businesses and annoy users. Because of the lack of NLP for the Arabic language and the fact that this language has a rich vocabulary that delivers the same grammar and meaning, methods that use...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Yozbaky, Rian Sh, Alanezi, Mafaz
Format: Conference Proceeding
Language:English
Subjects:
Deep Learning
Electronic mail
IEC
Machine Learning
NLP
Phishing
Phishing email detection
Reviews
Support vector machines
Vocabulary
Web and internet services
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Phishing emails are the biggest issue affecting internet services today, as they cause financial losses to businesses and annoy users. Because of the lack of NLP for the Arabic language and the fact that this language has a rich vocabulary that delivers the same grammar and meaning, methods that use the NLP principles also have many limitations and display a flawed performance, especially with regards to the non-English languages (such as Arabic languages). In this review, the researchers have outlined the methods and techniques that can be used for detecting phishing emails depending on their content. As a result, the attackers frequently devise new ways to develop their attacks and choose new procedures, words, and strategies that enable these techniques to work indefinitely, there is a significant gap in the detection of phishing attacks.
ISSN:2832-8310
DOI:10.1109/IEC57380.2023.10438812