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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21075

Email Fraud Detection

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21075

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

AP

Amarnath Pathak

TB

Tejeshwani Bharti

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Abstract

Email deception detection is the procedure of recognizing and halting dishonest emails that are intended to pilfer individual or economic details or to distribute malicious software. The procedure usually comprises multiple tiers of separation to pinpoint and sift out dubious emails before they get to the receiver’s inbox. One of the most prevalent abstractions exploited in email deception detection is the utilization of artificial intelligence algorithms to scrutinize the substance of emails and distinguish configurations that are linked with deceptive emails. These algorithms can be tutored on extensive data collection of recognized deceptive emails to aid them in detecting fresh occurrences of fraudulent emails with a significant level of precision

KEYWORDS

Phishing detection Machine learning Data Models Naive Bayes Logistic Regression Support Vector Method KNN Random Forest Data Analysis Classification Accuracy Precision Recall.

Cite This Article

Amarnath Pathak, Tejeshwani Bharti, "Email Fraud Detection," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM21075

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Publication Date

5/26/2023

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Double-Blind Peer Review

Review Rounds: 2

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1

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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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