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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Phishing Https URL Detection Using Machine Learning Algorithm |
| Authors Name: | S.Sowmya , S.Deepika , Sharmila.B , N.V. Sai Mounika |
| Unique Id: | IJSDR2304187 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | In general, usage of URL’S is the most common things lately, it may be for e-commerce purposes or entertainment, whatever it may be. In this project, our main factor is a URL’S, whether it is a fraudulent one or a legit one. Detection of this quality of a URLS’ is the main theme of the project. Conventionally, a URL can be detected whether it is harmful or not by the browser protection service, if it is redirecting to unusual or malicious sites, such sites are marked as harmful with a symbol before the URL. Even though, the browser’s firewall is enabled, it can never detect a phishing website. Because, Phishing site is not malicious site it steals data without the user even knowing it. So, to detect such sites we are training an ML model using different algorithms to determine the phishing site based on URL feature extraction. Based on different features of URL, such as like Domain length, character length etc., we will train the model with one algorithm at a time store their results and compare to find the more accurate one and display the results using the approved algorithm. |
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| Cite Article: | "Phishing Https URL Detection Using Machine Learning Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1139 - 1145, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304187.pdf |
| Downloads: | 000337071 |
| Publication Details: | Published Paper ID: IJSDR2304187 Registration ID:205186 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1139 - 1145 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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