OPTIMIZATION OF CRYPTOGRAPHIC MODEL UTILIZING MODERN BALANCING SWARM ALGORITHM

Abstract

The quick development of cloud computing (CC) in recent decades has raised questions regarding the energy and security needs of cloud data centers. This article proposes a new combined paradigm to address the issues of data security and energy consumption. For efficient data security, the lightweight cryptography (LWC) technique can be offered. To increase the well-secured concept by optimizing task balancing, the new augmented LWC (ALWC) technique is submitted. The new key is optimized well through balancing swarm optimization algorithm (BSOA). It also generates a public key with a new pseudo-random key. A 32-bit plaintext is encrypted using a 64-bit key in a cipher, which is then put into practice and examined. The cipher model is implemented using the MATLAB software implementation tool, and its entropy and histogram can be examined.