A Naive based share generation using Random Visual Crypto Technique
Jahnavi S1, C Nandini2

1Jahnavi S, Computer Science and Engineering, DayanandaSagar Academy of Technology & Management, Bangalore, India.
2C.Nandini, Computer Science & Engineering, DayanandaSagar Academy of Technology & Management, Bangalore, India.

Manuscript received on September 12, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 5123-5129 | Volume-8 Issue-12, October 2019. | Retrieval Number: L27601081219/2019©BEIESP | DOI: 10.35940/ijitee.A3912.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: With the advancement of technology and desire of Digitalization the sensitive data that are transmitted over the internet has to be secured. Since leakage of Information can lead to security theft, which happens in cybercrime. Hence securing the data which we share over the internet is almost as important in fulfilling the desire of digitalization. With this aim visual cryptography techniques are proposed. In the encryption phase of visual cryptography shares of secret data are created to transmit over the channel. And the shares are combined at the decryption phase to regain the original data. Considering one the existing method called RGB based multiple share creation with aid of Elliptical curve cryptography. The drawback of low PSNR value of retrieved image is boosted by adopting RSA in the second stage of encryption and proposed a Novel Visual cryptography Method that results in ∞ PSNR value along with retaining maximum information with PSNR in the retrieved data after attack.
Keywords: Correlation Coefficient (CC), Mean-Squared error (MSE), Peak Signal to Noise Ratio (PSNR), Structural Similarity (SSIM).
Scope of the Article: Structural Engineering