Secured and effective task scheduling in cloud computing using Levy Flight - Secretary Bird Optimization and Hash-based Message Authentication Code – Secure Hash Authentication 256

Abstract

Dynamic computing resources are accessible through Cloud Computing (CC), which has gained popularity as a computing technology. Effective Task Scheduling (TS) is an essential aspect of CC, crucial in optimizing task distribution over available resources for high performance. Assigning tasks in cloud environments is a complex process influenced by multiple factors such as network bandwidth availability, makespan and cost considerations. This study proposes a Hash-based Message Authentication Code – Secure Hash Authentication 256 (HMAC-SHA256) and Advanced Encryption Standard (AES) to ensure enhanced security in the task scheduling process within the CC environment. The HMAC-SHA256 algorithm is utilized for key generation, providing integrity verification and data authentication. The AES algorithm is employed to encrypt task data, then the Levy Flight - Secretary Bird Optimization (LF-SBO) algorithm is implemented to schedule optimal tasks in the cloud. The proposed HMAC-SHA256 – AES and LF-SBO algorithms demand lower energy requirements of 121.6 J for 10 tasks, 180.48 J for 25 tasks, 310.21 J for 50 tasks, 400.15 J for 75 tasks, and 520.34 J for 100 tasks, outperforming existing Particle Swarm Optimization (PSO).