• Harsh Chauhan
• Prof. Dharmendrasinh Rathod

The Internet has turned into a piece of our life as everything is becoming conceivable by the click of our finger. Nevertheless, it has similarly given opportunities to perform cybercrimes and harmful activities like Phishing. In the Phishing, attackers try to deceive their victims to steal information by social engineering or making counterfeit sites to take basic data like record ID, username, passwords from people and associations which would brings about extreme monetary misfortune, loss of reputation and client’s trust. Despite the fact that numerous techniques have been proposed to identify phishing sites, One of the best strategies to distinguish such malevolent exercises is Machine Learning. This is because most phishing sites have some common sorts of features which can be recognized by AI strategies. The objective of this research is to foster the new system to guard and utilize various ways to categorize websites. In this paper, an outline of the diverse AI approaches is introduced just when contrasted with observe which Machine Learning algorithm served the best in identifying those fake sites.

Phishing, Anti-Phishing, Phishing Detection, Machine Learning, Cybercrime

"Identifying Phishing Websites with Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.c775-c780, August-2022, Available :http://www.jetir.org/papers/JETIR2208282.pdf

"Identifying Phishing Websites with Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppc775-c780, August-2022, Available at : http://www.jetir.org/papers/JETIR2208282.pdf