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Recently, the IaaS (Infrastructure as a Service) Cloud (e.g., Amazon EC2) hasbeen widely used by many organizations. However, some IaaS security issuescreate serious threats to its users. A typical issue is the timing channel.This kind of channel can be a cross-VM information channel, as proven by manyresearchers. Because it is covert and traceless, the traditional identificationmethods cannot build an accurate analysis model and obtain a compromisedresult. We investigated the underlying behavior of the timing channel from theperspective of the memory activity records and summarized the signature of thetiming channel in the underlying memory activities. An identification methodbased on long-term behavior signatures was proposed. We proposed a complete setof forensics steps including evidence extraction, identification, recordreserve, and evidence reports. We studied four typical timing channels, and theexperiments showed that these channels can be detected and investigated, evenwith disturbances from normal processes.

Timing Channel in IaaS: How to Identify and Investigate