Prediction of Phishing Website using Visual Cryptography

P. Suryaprabha, A. Anny Leema

Abstract


Phishing is a new type of social network attack. It is the act of attempting to acquire the information such as username, password, credit card details, etc. In this project, a new approach named as “Image Captcha Based Authentication Using Visual Cryptography” to solve the problem of phishing is proposed. The string is converted into image captcha using the extracting and embedding method. The visual cryptography is used to preserve the privacy of image captcha by decomposing the original image captcha into two shares using VCS (2*2). One of the shares is kept with the user and the other is kept in the server side. The user has to enter the user name and upload his share in the login phase. If the site is legitimate, it will display the image captcha and on the other hand image captcha will not be displayed if the website is fraudulent. This work is implemented in Java as front-end and SQL as backend. This work helps to identify the phishing site and the textual keyword validation along with visual cryptography.

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