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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: | Detection of Phishing Websites using Machine Learning |
| Authors Name: | Karthik G R , Chaithra G , Jhenkar SK , Chandraprabha K S |
| Unique Id: | IJSDR2106046 |
| Published In: | Volume 6 Issue 6, June-2021 |
| Abstract: | There are number of clients who purchase products online and make payment through various websites and also there are multiple websites who ask clients to provide sensitive data such as username, password or credit card details etc. often for malicious reasons. This type of websites is familiar as phishing website. So, to disclose and predict phishing website, we suggested a quick, flexible and effective system that is based on classification Random forest algorithm. We utilize the Random forest algorithm and techniques to extract the phishing data sets criteria to classify their legitimacy. The phishing website can be detected based on some important characteristics i.e URL, Domain Identity, Security and encryption criteria in the final phishing detection rate. Once user makes transaction through online when he makes payment through the website our system will use Random forest algorithm to detect whether the website is phishing website or not. This application can be utilized by many E-commerce enterprises in order to make the whole transaction process secure. Random forest algorithm used in this system provides better performance as compared to other traditional classifications algorithms, with the help of this system user can also purchase products online without any hesitation. Administrant can add fraud website URL into system where system could access and scan the fraud website and by using algorithm, it will add new suspicious keywords to database. System make use of machine learning technique to add new keywords into database. |
| Keywords: | Random forest algorithm, machine learning, classification. |
| Cite Article: | "Detection of Phishing Websites using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 6, page no.328 - 332, June-2021, Available :http://www.ijsdr.org/papers/IJSDR2106046.pdf |
| Downloads: | 000337349 |
| Publication Details: | Published Paper ID: IJSDR2106046 Registration ID:193442 Published In: Volume 6 Issue 6, June-2021 DOI (Digital Object Identifier): Page No: 328 - 332 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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