• Mrs. S. DEEPIKA
• S. INDRA

To determine whether the websites are original or fake with the help of https anddomainreglen. To avoid the phishing website by analyzing and the count for original & fakewebsite is deducted from the dataset. Classifying the data into training set and test set in theNaive Bayes Classifier Algorithm and training the model. Fitting the training model intoprediction and then evaluating the prediction model. Accuracy is deducted from the Bayestheorem that isin percentageform.

Original Website, Fake Website, Naive Bayes Classifier Algorithm, MachineLearning,Data Mining.

"A STUDY ON REGION BASED ANALYSIS TO DETECT THE ORIGINALITY OF THE WEBSITES USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.18-20, April-2021, Available :http://www.jetir.org/papers/JETIRER06004.pdf

"A STUDY ON REGION BASED ANALYSIS TO DETECT THE ORIGINALITY OF THE WEBSITES USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp18-20, April-2021, Available at : http://www.jetir.org/papers/JETIRER06004.pdf