Design and Development of a Framework to Handle Virtual Machine Attacks in Cloud Computing

Abstract

Cloud computing presents significant potential for delivering cost-effective, newlineeasily manageable, scalable, and potent resources tailored to client needs via the Internet. newlineIt enhances hardware capabilities through efficient and shared resource utilization. The newlinesame technology may be used by threats like malware and the crypto stack despite the newlinebenefits of using a Virtual Machine Manager (VMM) to keep them apart. The migration newlineof Virtual Machines (VMs) becomes necessary due to increased loads, insufficient newlineresources, or physical system problems such as server crashes. Unfortunately, there is newlineinsufficient emphasis on securing VMs during migration. Current methods encounter newlinechallenges with cross-VM side channel attacks, VM escape, VM migration, and newlinehypervisor attack issues in the cloud computing environment. Additionally, there are newlineissues related to optimal resource allocation and secure data communication during VM newlinemigration. The current systems are not providing effective VM based attack detection and newlinehence it affects the system efficiency as well as security. This work focuses on newlineovercoming the above-mentioned problems by proposing effective resource allocation newlinetechniques and cryptographic algorithms newline