Phishing Site Detection and Blacklisting Using EVCS, Steganography Based on Android Application

Abstract

Online shopping allows consumers to buy goods or services over the Internet. As the popularity of online shopping increases, Debit or Credit card fraud and personal information security are major concerns for customers, merchants, and banks. Identity theft and phishing are the common dangers of online shopping. In phishing process, suppose cheater sends out thousands of phishing emails with a link to the fake website. Victims click on links in email believing it is legitimate. They enter personal information on that fake website. Fraudsters use this information to login to the original website. This paper proposes a new scheme of detecting and preventing phishing sites. It is done using extended visual cryptography, steganography and android application. It reduces user interaction by auto-upload of shares and QR code details during authentication and this adds to security by reducing errors due to manual intervention.