• R Yashika
• M Swethashree
• T. Renuka shri
• S. Irin sherly

The Internet has forge to be essential part of our life. It also gives openings to anonymously performed mischievous activities like phishing. Phishers steal information like personal detail, account information by creating fake website. Although numerous methods have been proposed to find phishing website, Phishers evolved different procedure to escape from these detection methods. One of the most successful techniques for detecting these mischievous activities is by using machine learning approaches. The aim of this paper is to predict the URL data whether it is legitimate, suspicious or phishing website. We also compared the results of multiple machine learning Algorithms like Logistic Regression, Random Forest Classifier, Decision Tree Classifier, Navies Bayes for finding the best accuracy. This work can be enhanced to implement in AI environment and connect to cloud.

Phishing Website, Machine Learning, Phishing attack, Detection, Fake Website.

"Prediction of phishing website using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.e780-e785, June-2022, Available :http://www.jetir.org/papers/JETIR2206497.pdf

"Prediction of phishing website using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppe780-e785, June-2022, Available at : http://www.jetir.org/papers/JETIR2206497.pdf