Cloud Forensics Module Intercepting Hypervisor VM Communication
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Solution Overview
Problem
Current digital forensics techniques are inadequate for analyzing cloud infrastructure due to its elasticity, ephemerality, and geographic distribution, making it challenging to collect and preserve forensic evidence in a transparent and non-intrusive manner, especially in virtualized environments where traditional methods fail to interact effectively with hypervisors and virtual machines.
Innovation Solution
A cloud incident response module (CIRM) that intercepts and extracts data from communication between virtual machines and hypervisors, performing forensic analysis transparently without knowledge of the operating environment, using virtual machine introspection to collect and monitor runtime state data, including processor registers, memory, and network events, while being agnostic to hypervisor and operating system versions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional digital forensics techniques are used to examine all files and file system structure, then complete forensic analysis is achieved, but it becomes impractical in cloud infrastructure due to elasticity and ephemerality of pooled storage
Solution Approach 1:
The patent segments the forensic analysis process by focusing specifically on hypervisor-VM communication channels rather than examining all files and file systems. The CIRM module intercepts and extracts data from specific communication protocols (virtio, PCI, USB) between the hypervisor and virtual machines, providing targeted forensic evidence collection that is practical for cloud environments while maintaining analytical completeness for security incidents.
Solution Approach 2:
The patent extracts critical forensic data directly from hypervisor-VM communication streams without requiring access to the complete file system. By taking out and analyzing only the relevant communication data between virtual machines and the hypervisor, the system achieves practical forensic capability in cloud environments where full file system examination is infeasible due to pooled storage architecture.
2Measurement precision
If forensic tools require knowledge of operating environment, hypervisor, and file system structure, then detailed analysis is possible, but it increases complexity and reduces adaptability across diverse cloud platforms
Solution Approach 1:
The CIRM module is designed with universal functionality that works across diverse hypervisor platforms (KVM, Xen, VMware) and operating systems without requiring platform-specific knowledge. By implementing a unified interception mechanism that operates at the hypervisor-communication layer rather than the file system or application layer, the tool achieves broad adaptability while maintaining detailed forensic analysis capability through standardized data extraction from virtual device communications.
3Loss of information
If forensic examination examines all files on storage media, then comprehensive evidence collection is achieved, but it is cumbersome in cloud infrastructure with pooled storage and geographic distribution
Solution Approach 1:
The patent implements preliminary action by continuously monitoring and intercepting communication data between virtual machines and the hypervisor in real-time. This allows forensic evidence to be collected proactively during normal system operation, so when a security incident occurs, the relevant evidence is already captured and preserved, eliminating the need for time-consuming retrospective file system examinations across distributed cloud storage.
Data Source
AI summary
A system, method, and device for cloud forensics and incident response is provided. In an embodiment, a computer-implemented method for performing cloud forensics and incident response includes intercepting, by a cloud incident response module (CIRM), communication between a virtual machine (VM) and a hypervisor. The method also includes extracting, by the CIRM, data from the communication between the VM and the hypervisor according to a forensic policy. Intercepting and extracting the data are transparent to the VM and to the hypervisor. Intercepting and extracting the data are independent of the VM and the hypervisor.