Enhancing data security using global mutation based novel artificial immune network optimization in public cloud storage system

Abstract

AbstractDuring the past few years, several investigations and efforts have undergone to achieve secure data in the cloud. On the other hand, few security problems that arise because of virtualization and multitenancies are communication, isolation, as well as resource management system. Practically, it becomes a troublesome task for the user to attain secure output. Therefore, in this article, a RSA cryptosystem using global mutation‐based novel artificial immune network optimization algorithm is proposed. Here, an optimal key generation is achieved using a global mutation based novel artificial immune network optimization (GM‐NAINO). In addition to this, the data integrity is achieved by enhancing secure data transmission. Finally, seven diverse test functions are employed in evaluating the efficiency of the proposed technique. The experimental analysis are performed and the evaluation results demonstrated that the performances of the proposed technique is better when comparison with other techniques.