A Heuristic Model for Securing Virtual Machine Migration During Attack Traces in Cloud Environment

Abstract

Various organizations and companies rely on the virtualized environment for running the applications. These sorts of applications require security policies and rigorous protection mechanisms. The significant challenge towards virtualized system availability is software aging which leads to the system collapsing or encounters some failure. Upgrading the software is the only way to handle the aging issues where the researchers recommend the use of VM migration to diminish the downtime. However, there is a gap in security implications during the VM migration-based scheduling. Here, a novel security evaluation method is proposed to assist the model available for the virtualized system. The target is to predict the scheduling without any threat intervention to reach the expected level (availability and security risk). Here, a novel aggregation of heuristic optimizer (A-HO) for system configuration in VM migration is proposed to measure the security threats like DoS, DDoS, Man-in-the-middle. The outcomes offer insight towards the information regarding the security risk and availability when applying the migration scheduling with the aggregation process.

Movement Mode Harmony Search Based Multi-objective Firefly Algorithm Feature Selection for Detecting the Security Threats in Virtual Machine

“…In recent years, to counter the security threats in cloud computing, major cloud providers have adopted various security protection mechanisms based on the characteristics of cloud platforms [1]. Cloud computing is a model for delivering ondemand computational resources and services named storage of data as well as computing power over the internet [2].…”

“…Each cloud user requests a set of VMs to run its application on a cloud data center, where VMs usually communicate with each other to process the International Journal of Intelligent Engineering and Systems, Vol.17, No. 1,2024 DOI: 10.22266/ijies2024.0229. 16 application [6].…”