WITHDRAWN: Efficient Secure Aware Scheduling Model for Enhancing Security and Workflow Model in Cloud Computing

Abstract

In recent years, cloud computing can be one of the most pragmatic and popular topics of research because of its advantages. Cloud storage allows organizations to store information of service providers at remote sites.Cloud computing has faced some challenges such as security issues and scheduling problems due to confidentiality and good mapping among the users and available resources. Hence, in this paper,Secure Aware Scheduling Model (SASM) is designed to enhance the security and manage the scheduling in cloud computing. The proposed model is working with two phase of operations such as security enhancement and best scheduling process. The first phase of proposed model is security enhancement which can beattained with the assistance of Split XOR (SXOR) function.The SXOR functioncan be utilized to enhance the security in cloud computing by encryption and decryption process. In the SXOR function, the optimal key selection can be attained with the assistance of Black Widow Optimization (BWO). The second phase of projected model can be Optimal Scheduling Process (OSP) which used to reduce waiting time and execution time of the users in cloud computing. The main objective of the projected model can be security enhancement as well as optimal scheduling in cloud computing.The projected model is developed using MATLAB and the performance is investigatedthroughthe performance metrices such as attack level, encryption time, decryption time, memory usage of decryption, memory usage on encryption,make span, success rate and average waiting timecorrespondingly. The projectedtechniquecan becontrasted with the conventional TechniquesSXOR-Mayfly Algorithm (SXOR-MA), SXOR-Particle Swarm Optimization (SXOR-PSO) and Elliptical Curve Cryptography-Emperor Penguin Optimization (ECC-EPO) respectively.