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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM25169
Volume:
7 |
8 |
Aug 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Email spam has rapidly expanded in recent years along with the enormous surge in internet users. People are making illegal and immoral use of them. scams conduct, and phishing. It is against the law to send unsolicited emails with dangerous links that could damage our system or try to access your system. The people who are unaware of these scams are the main targets of spammers, who easily construct fake identities and email addresses. In their spam emails, they employ a legitimate name. Therefore, it’s crucial to recognize phony spam emails. To accomplish this, this research will make use of machine learning techniques.
KEYWORDS
Publication Date
11/7/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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