Hemalatha, Rangaswamy and Selvi, Sellappan (2022) Robust Collusion Avoidance-Secure Signific VC Scheme. International Journal of Intelligent Engineering and Systems,, 15 (4). pp. 565-574.

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Abstract

Visual Cryptography (VC) was developed to encrypt images into numerous shares and decrypt them by
grouping the shares without the need for expensive traditional cryptosystems. The Secure Signific VC (SSVC)
scheme was intended to use a Contrast Sensitive Function (CSF) for deciding on Cover Image (CI) blocks to be
embedded with the secret shares. However, this scheme was prone to collusion attacks and distortions in the images.
To solve this, randomness and collusion avoidance are essential for SSVC to be valuable. Hence, this article
proposes a new Robust Collusion Avoidance-based SSVC (RCA-SSVC) scheme to create the collusion-resistant
Secret Image (SI) shares effectively and avoid the risk of collusion. This scheme is designed in a manner such that
each share is dependent on every other image or at least most of the images. This characteristic ensures that data is
distributed uniformly across users and protects against collusion threats. During the share creation stage, a Boolean
XOR function and a shift-bit algorithm are introduced to create multiple shares from SIs. This algorithm creates the
shares only if the prior shares had been previously created. These created shares are embedded with the CI blocks
chosen by CSF and sent to the individuals via a transfer channel. Further, the actual SI is retrieved from the received
shares during the restoration stage. Finally, the results of the experiments show that the RCA-SSVC achieves an
average Mean Square Error (MSE) of 0, mean Peak Signal-to-Noise Ratio (PSNR) of 56.48dB, average Mean
Absolute Error (MAE) of 0.736, mean Universal Image Quality Index (UIQI) of 0.9478, mean Structural Similarity
Index (SSIM) of 0.9122 and 0.9sec time complexity compared to the traditional VC schemes

Item Type: Article
Uncontrolled Keywords: VC, SSVC, Multiple secret sharing, Collusion avoidance, XOR function, Shift-bit algorithm
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 27 Sep 2022 08:27
Last Modified: 27 Sep 2022 08:27
URI: http://ir.psgcas.ac.in/id/eprint/1558

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