Refers to efforts to block phishing attacks. Phishing is a kind of cybercrime where attackers pose as known or trusted entities and contact individuals through email, text or telephone and ask them to share sensitive information.
In this methodology content/email are filtered as it enters in the victim’s mailbox using machine learning methods, such as Bayesian Additive Regression Trees (BART) or Support Vector Machines (SVM)
Blacklist is collection of known phishing Web sites/addresses published by trusted entities like Google’s and Microsoft’s blacklist. It requires both a client & a server component. The client component is implemented as either an email or browser plug-in that interacts with a server component, which in this case is a public Web site that provides a list of known phishing sites.
Symptom-based prevention analyses the content of each Web page the user visits and generates phishing alerts according to the type and number of symptoms detected.
It is a client’s browser-based techniques where sensitive information (eg. name, password) is bind to a particular domain. It warns the user when he visits a domain to which user credential is not bind.