A Measurement Method of Threat for Co-Residency Detection Based On Cloud Model

Ideally, each VM should be deployed independently and isolated form one another while multiple virtual machines share the same physical resource. Unfortunately, the absence of physical isolation inevitably give opportunities to number of security threats. in this paper, A cloud modelbased method for measuring potential threat of virtual machine co-residency detection is proposed to solve the problem, which is caused by co-residency malicious VM, that malicious users steal private message and slow down others’ performance. Based on the analysis of co-residency detection behavior characteristics, we utilized the method’s advantage in the uncertain conversion of multi-attribute decision and the evaluation of fuzziness and randomness. The method comprehensively considers the threat attributes of co-residency detecting, and gives full play to the advantages of the cloud model, which provides an important basis for the research and application of the detection and defense of the virtual machine in the cloud environment.