A Model for Detecting Sounds-alike Phishing Email Contents for Persons with Visual Impairments

In the Internet environment, most people, organizations communicate with each other through emails. Although Email is a significant mechanism for communication, a phishing email is one of the exponential growth in cybercrime. In phishing, attackers randomly send fraud emails to victims by practicing...

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Bibliographic Details
Published in2020 Sixth International Conference on e-Learning (econf) pp. 17 - 21
Main Author Sonowal, Gunikhan
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.12.2020
Subjects
Cybersecurity
Edit Distance
Electronic mail
Machine Learning
Matched filters
Pattern matching
Phishing
Phishing Email
Uniform resource locators
Visualization
Online AccessGet full text

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Summary:In the Internet environment, most people, organizations communicate with each other through emails. Although Email is a significant mechanism for communication, a phishing email is one of the exponential growth in cybercrime. In phishing, attackers randomly send fraud emails to victims by practicing a legitimate site's identification which encourages the user to believe in it and disclose their credentials. As increasing of phishing emails, some kinds of phishers exercise sound-alike contents within the email to target persons with visual impairments. A fundamental shortcoming of the existing research is that it does not address the difficulty of sound-alike keywords. Therefore, this paper proposes a model titled SPEDAS(Sounds-alike contents Phishing Email Detection Assist to Screen reader users). This Model detects phishing emails by verifying sound-alike contents. The result of the experiment shows that the proposed model provided 83% accuracy.
DOI:10.1109/econf51404.2020.9385451