An Enhanced Anti Phishing Approach Based on Threshold Value Differentiation

Phishing is form of creating a similar look-a-like legal website and misleading the customers or users to user their identities or authentication keys such as usernames, passwords, pins to gain the control and then duping the customers by illegal activities such as interpreting data, financial accounts transfer etc mainly phishing is heavily seen in portals like banking, mails etc. This paper presents an anti phishing approach for detecting phishing attacks. Our approach combines a Threshold Value Differentiation approach with machine learning techniques. The Threshold is used as filter that blocks phish web pages used to imitate innocuous user behavior.