Enhancing Cloud Survival: Strategies Leveraging Diversity and Redundancy of Virtual Machine

This research investigates the influence of virtual machine diversity and redundancy on the survival probability of cloud systems under attack over a specified period. We have formulated the problem by applying game theory to achieve maximum payoff and employing a tree diagram to integrate the sequential attack strategy systematically. Through simulations, we demonstrate the effectiveness of integrating diversity and redundancy in enhancing system survival probability. Furthermore, this research presents a cost analysis to guide the optimal selection of system configurations that achieve the highest survival probability within budget constraints.