E-mail text deception detection based on Machine Learning technology

Hongjian Zhang, Gabriela Mogos*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In January 2022, the number of global Internet users will reach 4.95 billion, and Internet users account for 62.5% of the total population [1]. As the number of users grows, the content on the Internet expands by the minute.
At the same time, e-mail is increasingly used, with more than a third of the world's population now using it [7]. Malicious people can use e-mail to commit fraud, and users often suffer losses if they are unprepared. So, the motivation for this paper was to explore what techniques could be used to reduce the amount of email fraud and prevent email users from suffering financial or personal information loss.
Original languageEnglish
JournalInternational Journal of Design, Analysis and Tools for Integrated Circuits and Systems
Publication statusPublished - Oct 2022

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