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Malicious Website Detection using Visual Cryptography and OTP


Author : Kajal Nanaware, Kirti Kanade, Manisha Bhat, Reshma Patil and A.S. Deokar

Pages : 3310-3313
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Abstract

With the advent of internet, various online attacks have been increased and among them, the most popular attack is phishing. Phishing is an attempt by an individual or a group to get personal confidential information such as passwords, credit information from unsuspecting victims for identity theft, financial gain and other fraudulent activities, by pretending to be a trustworthy entity. Victims are tricked into providing such information by a combination of spoofing techniques and social engineering. Fake websites which appear very similar to the original ones are being hosted to achieve this. In this paper we have proposed a new approach named as “Malicious Website Detection using Visual Cryptography and OTP” to solve the problem of phishing. Here an image based authentication using Visual Cryptography is implemented with the combination of OTP (One Time Password). The use of visual cryptography is explored to preserve the privacy of an image captcha by decomposing the original image captcha into two shares. The original image is obtained at the user end only when both the user and the server under test are registered with the trusted server. Using this, website cross verifies its identity and proves that it is a genuine website before the end users.

Keywords: Phishing, visual cryptography, image captcha, shares, OTP.

Article published in International Journal of Current Engineering and Technology, Vol.4, No.5 (Oct-2014)

 

 

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