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Title: :  Applying Machine Learning for Identifying Fraud Sites
PaperId: :  21142
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21142
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Renuka Reddy AMC Engineering of College

Abstract

Computer science
To publishing the paper
Offenders looking for sensitive information create illicit clones of legitimate websites and e-mail accounts. The email will contain actual company logos and phrases. When a user clicks on one of these hackers' links, the hackers obtain access to all of the user's sensitive information, including bank account information, personal login passwords, and photos.Random Forest and Decision Tree algorithms are widely used in current systems, and their accuracy must be improved. The current models have a low latency. Existing systems lack a specialised user interface.

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IJARIIE Renuka Reddy . "Applying Machine Learning for Identifying Fraud Sites" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 834-837
MLA Renuka Reddy . "Applying Machine Learning for Identifying Fraud Sites." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 834-837.
APA Renuka Reddy . (2023). Applying Machine Learning for Identifying Fraud Sites. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 834-837.
Chicago Renuka Reddy . "Applying Machine Learning for Identifying Fraud Sites." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 834-837.
Oxford Renuka Reddy . 'Applying Machine Learning for Identifying Fraud Sites', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 834-837. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Applying_Machine_Learning_for_Identifying_Fraud_Sites_ijariie21142.pdf (Accessed : 04 September 2023).
Harvard Renuka Reddy . (2023) 'Applying Machine Learning for Identifying Fraud Sites', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 834-837IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Applying_Machine_Learning_for_Identifying_Fraud_Sites_ijariie21142.pdf (Accessed : 04 September 2023)
IEEE Renuka Reddy , "Applying Machine Learning for Identifying Fraud Sites," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 834-837, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Applying_Machine_Learning_for_Identifying_Fraud_Sites_ijariie21142.pdf [Accessed : 04 September 2023].
Turabian Renuka Reddy . "Applying Machine Learning for Identifying Fraud Sites." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 (04 September 2023).
Vancouver Renuka Reddy . Applying Machine Learning for Identifying Fraud Sites. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 04 September 2023]; 9(4) : 834-837. Available from: https://ijariie.com/AdminUploadPdf/Applying_Machine_Learning_for_Identifying_Fraud_Sites_ijariie21142.pdf
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