The conjectural framework for detecting DDoS attack using enhanced entropy based threshold technique (EEB-TT) in cloud environment

A major threat to cloud infrastructure network is distributed denial of service (DDoS) attacks. It makes the resources unavailable for its anticipated users, which can be accomplished through malicious virtual machines (VMs) in a hypervisor layer of cloud datacenter. Less protection in VMs leads to DDoS attacks on cloud environment. Traditional approaches used data flow based method, but that is not efficient for attack detection in distributed cloud environment. In a cloud environment, malicious tenants use the cloud resources to initiate DDoS attacks at cloud datacenter level. This paper proposes a theoretical framework of entropy information theory based attack detection method, which is based on finding probability distribution of malicious VMs attributes to effectively address this issue.