CHAOS-BASED IMAGE ENCRYPTION WITH SALP SWARM KEY OPTIMIZATION

Received: 13.05.2021; Revised: 09.07.2021, Accepted: 30.07.2021, Published Online: 31.08.2021

Supriya Khaitan

School of Computing Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India, Supriyakhaitan21@gmail.com

Shrddha Sagar

School of Computing Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

Rashi Agarwal

Department of MCA,Galgotias College of Engineering & Technology, Greater Noida, Uttar Pradesh, India, rasagarwal@gmail.com

Abstract—Substantial data is being transferred across the unsecured channel; with this considerable data transfer comes the need to protect this data. Thus, to achieve security during transmission, several encryption algorithms have been proposed. Chaos-based maps are widely used for image encryption due to their characteristics, like pseudo-randomness sensitivity to initial conditions. Inspired by researchers, we proposed an image security algorithm based on a chaotic tent map integrated with the Salp Swarm Algorithm (SSA) for key generation and optimization, for grayscale images. A diffusion and permutation are carried out in each round to make it secure. A simple XOR function is applied to encrypt and decrypt the data. Different statistical analysis has been applied to images, and results has been discussed to justify proposed techniques effectiveness.

Keywords — Tent map, Salp Swarm Optimization, Encryption, Chaotic Map, Image Encryption.