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Title: :  Phishing Website Detection Using Machine Learning Algorithms
PaperId: :  23228
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23228
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ritika Suresh SheteSiddhant College of Engineering
Sayali Sanjay PawarSiddhant College of Engineering
Sarita Subhash BhuteSiddhant College of Engineering
Sanskruti Pravinkumar BaviskarSiddhant College of Engineering
Sushma ShindeSiddhant College of Engineering

Abstract

Computer Engineering
Logistic Regression, Multinomial Naïve bayes, XG Boost
Hoodlums looking for delicate data build illicit clones of real websites and mail accounts. The mail will be made up of genuine firm logos and mottos. When a client clicks on a interface given by these programmers, the programmers pick up get to to all of the user's private data, counting bank account data, individual login passwords, and pictures. Irregular Timberland and Choice Tree calculations are intensely utilized in show frameworks, and their exactness has to be upgraded. The existing models have moo idleness. Existing frameworks do not have a particular client interface. In the current framework, distinctive calculations are not compared. Buyers are driven to a faked site that shows up to be from the bona fide company when the e-mails or the joins given are opened. The models are utilized to identify phishing Websites based on URL noteworthiness highlights, as well as to discover and actualize the ideal machine learning show. Calculated Relapse, Multinomial Credulous Bayes, and XG Boost are the machine learning strategies that are compared. The Calculated Relapse calculation beats the other two.

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IJARIIE Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, and Sushma Shinde. "Phishing Website Detection Using Machine Learning Algorithms" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3591-3598
MLA Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, and Sushma Shinde. "Phishing Website Detection Using Machine Learning Algorithms." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3591-3598.
APA Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, & Sushma Shinde. (2024). Phishing Website Detection Using Machine Learning Algorithms. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3591-3598.
Chicago Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, and Sushma Shinde. "Phishing Website Detection Using Machine Learning Algorithms." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3591-3598.
Oxford Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, and Sushma Shinde. 'Phishing Website Detection Using Machine Learning Algorithms', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3591-3598. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Phishing_Website_Detection_Using_Machine_Learning_Algorithms_ijariie23228.pdf (Accessed : ).
Harvard Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, and Sushma Shinde. (2024) 'Phishing Website Detection Using Machine Learning Algorithms', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3591-3598IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Phishing_Website_Detection_Using_Machine_Learning_Algorithms_ijariie23228.pdf (Accessed : )
IEEE Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, and Sushma Shinde, "Phishing Website Detection Using Machine Learning Algorithms," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3591-3598, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Phishing_Website_Detection_Using_Machine_Learning_Algorithms_ijariie23228.pdf [Accessed : ].
Turabian Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, and Sushma Shinde. "Phishing Website Detection Using Machine Learning Algorithms." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Ritika Suresh Shete, Sayali Sanjay Pawar, Sarita Subhash Bhute, Sanskruti Pravinkumar Baviskar, and Sushma Shinde. Phishing Website Detection Using Machine Learning Algorithms. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 3591-3598. Available from: https://ijariie.com/AdminUploadPdf/Phishing_Website_Detection_Using_Machine_Learning_Algorithms_ijariie23228.pdf
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