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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM15499
Volume:
6 |
7 |
Jul 2022
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 grow to be a main hassle with Rapid boom of net users, Email spams is likewise increasing. People are the use of them for unlawful and unethical conducts, phishing and fraud. Sending malicious hyperlink via unsolicited mail emails that can damage our gadget and also can are seeking for in into your gadget. Creating a faux profile and e-mail account is a whole lot clean for the spammers, they fake like a proper character of their unsolicited mail emails, those spammers goal the ones peoples who aren’t aware of those frauds. So, it’s miles had to Identify the ones unsolicited mails which might be fraud, this venture will discover the ones unsolicited mail through the use of strategies of gadget mastering. In this paper the fake mails are predicted by using data analysis technologies by applying decision tree algorithm.
KEYWORDS
Publication Date
9/6/2022
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.
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No funding information available for this research.
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