Open AccessPhishing Website Detection Using ML
Author(s) -
K S Nikhil,
D. S. Rajesh,
Dhanush Raghavan
Publication year - 2021
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit217354
Subject(s) - phishing , password , credit card , internet privacy , the internet , computer science , world wide web , computer security , internet users , personally identifiable information , information sensitivity , payment
Phishing is one kind of cyber-attack , it is a most dangerous and common attack to retrieve personal information, account details, credit card credentials, organizational details or password of a client to conduct transactions. Phishing websites seem to like the relevant ones and it is difficult to differentiate among those websites. It is one of the most threatening that every individuals and organization faced. URLs are known as web sites are by which users locate information on the internet. The review creates warning of phishing attacks, detection of phishing attacks and motivate the practice of phishing prevention among the readers. With the huge number of phishing emails or messages received now days, companies or individuals are not able to find all of them.