Multiple Secret Share Creation Scheme With Elephant Herd Optimization Algorithm for Biometric Image Security

Abstract

Due to advanced development in information technologies, cybersecurity and biometric approaches becomes significantly increased. A new multiple secret share creation scheme for biometric images is proposed. To enhance the shares security, each shares are encrypted by using stream cipher of lightweight cryptography (LWC). For increasing the effectiveness of the stream cipher, here the optimal key selection process takes place by elephant herd optimization (EHO) algorithm. The performance of the projected technique of by elephant herd optimization based stream cipher (SC-EHO) is assessed and the results are examined under diverse aspects on iris images. The experimental results depicted that the projected technique has reached to maximum security compared to other methods. The experimental values ensured that the SC-EHO algorithm has obtained a higher PSNR of 56.30dB and throughput of 31MB.