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Title: :  A Study On: Implementation of ML(Machine Learning) in Compromised Emails
PaperId: :  19986
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19986
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Riya BhadraPresidency University
Kokila SPresidency University

Abstract

Computer Science and Engineering
Feature Selection, Phishing, Security, Social Engineering, Neural Networks.
The aim of this study is to give a novel tool for finding out phishing attacks and finding solutions to counteract such threats. In the following article we tell about the process of how to develop a scrum-based implementation of algorithms for Neural Networks, Automatic Learning, and Feature Selection. This tool has the ability to find out and mitigate a phishing attack found inside the e-mail server. For the validating the obtained results, we have used the information of blacklist of Phish Tank, which is a collaborative cleansing house for details about phishing on the net. The concluded proof of concept showed that the implemented feature selection algorithm discards the not useful characteristics of mail and, that the neural network algorithm takes up these characteristics, establishing an optimal level of learning without unnecessary stuff. It also tells about the functionality of the solution proposed.

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IJARIIE Riya Bhadra, and Kokila S. "A Study On: Implementation of ML(Machine Learning) in Compromised Emails" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 3065-3068
MLA Riya Bhadra, and Kokila S. "A Study On: Implementation of ML(Machine Learning) in Compromised Emails." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 3065-3068.
APA Riya Bhadra, & Kokila S. (2023). A Study On: Implementation of ML(Machine Learning) in Compromised Emails. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 3065-3068.
Chicago Riya Bhadra, and Kokila S. "A Study On: Implementation of ML(Machine Learning) in Compromised Emails." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 3065-3068.
Oxford Riya Bhadra, and Kokila S. 'A Study On: Implementation of ML(Machine Learning) in Compromised Emails', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 3065-3068. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Study_On__Implementation_of_ML_Machine_Learning__in_Compromised_Emails_ijariie19986.pdf (Accessed : ).
Harvard Riya Bhadra, and Kokila S. (2023) 'A Study On: Implementation of ML(Machine Learning) in Compromised Emails', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 3065-3068IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Study_On__Implementation_of_ML_Machine_Learning__in_Compromised_Emails_ijariie19986.pdf (Accessed : )
IEEE Riya Bhadra, and Kokila S, "A Study On: Implementation of ML(Machine Learning) in Compromised Emails," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 3065-3068, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Study_On__Implementation_of_ML_Machine_Learning__in_Compromised_Emails_ijariie19986.pdf [Accessed : ].
Turabian Riya Bhadra, and Kokila S. "A Study On: Implementation of ML(Machine Learning) in Compromised Emails." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver Riya Bhadra, and Kokila S. A Study On: Implementation of ML(Machine Learning) in Compromised Emails. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 3065-3068. Available from: https://ijariie.com/AdminUploadPdf/A_Study_On__Implementation_of_ML_Machine_Learning__in_Compromised_Emails_ijariie19986.pdf
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