Study On Effects Of Different Malware Attacks On The Virtual Machines And An Analysis Of The Detection Techniques

Abstract

newline The rapid proliferation of Cloud Computing in the recent times has made it to newline newlinebe the most advanced enterprise technology, in terms of availability of newline newlineresources, accessibility, scalability and cost. There is an enormous increase in newline newlinethe security threats in most of the cloud components. This research focuses on newline newlinethe infrastructure layer of cloud, where attackers target the virtual machines newline newlineand its counterparts. Inter-Virtual Machine (VM) communication attack is a newline newlinethreat to the virtual machines, whereby virtual machines co-locating in the newline newlinesame physical host can attack other virtual machines. Thus, from the newline newlinecompromised virtual machines, attacks can propagate to the other virtual newline newlinemachines and the physical hosts. newline newlineIn order to address this issue, a system to automate the recovery of virtual newline newlinemachines through a self-heal approach has to be designed. This approach must newline newlineprovide an incident response and also increase the quality of service (QoS) of newline newlinethe virtual machines. Unlike most previous work which tried to eliminate newline newlinemalware attacks, a remedy to overcome malware attacks by a restoration newline newlineprocess is made appropriate throughout this research work. Specifically, the newline newlinemain contributions of the research include: newline newlineAn inter-VM communication attack scenario was modeled, to verify the attack newline newlinecoverage of the attacker, the attacker behavior, and thus the performance in the newline newlineutilization of the CPU was observed. Based on these metrics, the underlying newline