ADV MATH SCI JOURNAL Advances in Mathematics: Scientific Journal 10 (2021), no.1, 443–451 ISSN: 1857-8365 (printed); 1857-8438 (electronic) https://doi.org/10.37418/amsj.10.1.44 MULTIPLE SECRET SHARE CREATION SCHEME WITH ELEPHANT HERD OPTIMIZATION ALGORITHM FOR BIOMETRIC IMAGE SECURITY Elavarasi Gunasekaran 1 and Vanitha Muthuraman ABSTRACT. Due to advanced development in information technologies, cyber- security and biometric approaches becomes significantly increased. A new mul- tiple secret share creation scheme for biometric images is proposed. To en- hance 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 op- timization (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. 1. INTRODUCTION In recent days, biometric mechanism is applied extensively for the purpose of identifying legal authority and user, so that the user identity will be protected from any kind of fraudulent activities. Regardless, the better analyzing meth- ods are more vulnerable which are easily hacked and biometric owner might 1 corresponding author 2020 Mathematics Subject Classification. 68P25. Key words and phrases. Biometrics, encryption, security, share creation, light weight cryptography. Submitted: 20.12.2020; Accepted: 06.01.2021; Published: 21.01.2021. 443