A survey on attack detection on cloud using supervised learning techniques

Cloud computing has brought a revolution in the field of computing. Apart from the merits of cloud computing, it possesses several demerits also. There are several types of attacks on cloud. All the attacks are focused on a particular layer of cloud architecture. Cloud computing architecture composed of three layers Infrastructure as a service (IaaS), platform as a service (PaaS) and Application as a service (AaaS). If Iaas is vulnerable then all above layers can't be secure. The principal concern of security in Iaas is Virtualization. There are several attacks on virtualization in IaaS layer like attack on VM image sharing. VM isolation violation, insecure VM migration and VM escape. In this paper all such attacks are studied and the solutions are also discussed.