LAUSR

Biometric strategy is primarily followed for authentication which incorporates the distinct recognition of the individual depending on their physical or behavioral features. Among all the biometrics techniques, ‘Iris scanning’ is touted to be the most secure technique due to its uniqueness and constancy. However, it is challenging to safely store the iris template in database since it can be stolen or corrupted easily. Secret sharing is a significant method that can be utilized to secure the secrecy of these biometric images transmitted over open channels. Additionally, the access control can be enhanced through authentication by a human being who receives the images, in the absence of any trusted communication channels which in turn reduces the risk of data leakage. Therefore, this study developed an efficient Double Layered Secure Secret Images Sharing Scheme for Biometrics. The proposed Double Layered Secure Secret Images Sharing Scheme is the first of its kind technique in this era, which enables double protection for sensitive data by incorporating two layers of secret sharing. In first layer, threshold-based secret sharing is performed and the second layer of secret sharing is performed with Shamir’s secret sharing approach. Moreover, to enhance access control feature by unauthorized parties, the shared images are then encrypted using stream cipher, where Opposition based Ant Lion Optimization algorithm is used for key generation. The maximum PSNR was 49.1347 while it was 47.4671 for existing method thus better results were achieved by the proposed scheme.