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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM15499

Detection of Fake Emails Using Python

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM15499

Volume:

6 |

7 |

Jul 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM15499

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.

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Authors

MS

Mohammed Sadiq

VK

Vidya K

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Abstract

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

Email Spams Feature Extraction data analysis frauds spammers

Cite This Article

Mohammed Sadiq, Vidya K, "Detection of Fake Emails Using Python," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 7, Jul 2022. https://doi.org/10.55041/IJSREM15499

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Publication Date

9/6/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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