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Survey Paper on Techniques of Email Fraud Detection System

Author(s):

Shrikant Salve , Maharashtra Institute of Technology, Aurangabad; Sachin Rathod, Maharashtra Institute of Technology, Aurangabad; Dheeraj Narkhede, Maharashtra Institute of Technology, Aurangabad; Prof. Daivashala Deshmukh, Maharashtra Institute of Technology, Aurangabad

Keywords:

Fraudulent emails, Spam emails

Abstract

This survey paper categories a fraudulent email detection model using advanced feature choice. The paper of the literature study shows that the work of fraudulent emails detection requires the better or different choice of feature set; while the choice of classification method is of less importance. Fraudulent email can be evaluated using different state-of-the art algorithms. In comparison with related many reviews on fraud detection, this survey paper covers technical articles that proposes alternative data and solutions from related domains.

Other Details

Paper ID: IJSRDV8I10820
Published in: Volume : 8, Issue : 1
Publication Date: 01/04/2020
Page(s): 1194-1196

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