CryptVMI

Abstract

Virtualization has demonstrated its importance in both public and private cloud computing solutions. In such environments, multiple virtual instances run on the same physical machine concurrently. Thus, the isolation in the system is not guaranteed by the physical infrastructure anymore. Reliance on logical isolation makes a system vulnerable to attacks. Thus, Virtual Machine Introspection techniques become essential,since they simplify the process to acquire evidence for further analysis in this complex system. However, Virtual Machine Introspection tools for the cloud are usually written specifically for a single system and do not provide a standard interface to work with other security monitoring systems. Moreover, this technique breaks down the borders of the segregation between multiple tenants, which should be avoided in a public cloud computing environment. In this paper, we focus on building a flexible and encrypted Virtual Machine Introspection system, CryptVMI, to address the above concerns. Our approach maintains a client application on the user end to send queries to the cloud, as well as parse the results returned in a standard form. We also have a handler that cooperates with an introspection application in the cloud infrastructure to process queries and return encrypted results. This work shows our design and implementation of this system, and the benchmark results prove that it does not incur much performance overhead.