• Mrs. S. DEEPIKA
• R. ROSHNI

Fake websites are basically created by an individual or an organization with the intention of misleading the viewers and readers. But fake websites are very similar to original websites, where there’s a bit difficulty in identifying them. Here, the theme is to identify such websites. The application used in here is Machine Learning, which refers to the study of algorithms using data, which supports its improvement. The algorithm used is Naïve Bayesian classifier algorithm, which eases the prediction by the way of classification. Thus the websites that are fake and original are detected on the basis of black list with the below processes.

Naïve Bayesian,age

"A NEW APPROACH FOR THE DETECTION OF FAKE WEBSITE USING CLASSIFICATION METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.13-17, April-2021, Available :http://www.jetir.org/papers/JETIRER06003.pdf

"A NEW APPROACH FOR THE DETECTION OF FAKE WEBSITE USING CLASSIFICATION METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp13-17, April-2021, Available at : http://www.jetir.org/papers/JETIRER06003.pdf