Abstract—A structure is required to prevent the malicious
code from leaking onto the system. The use of sandboxes has
become more advance, allowing for investigators to access
malicious code while minimizing the risk of infecting their own
machine. This technology is also used to prevent malicious code
from compromising vulnerable machines. The use of sandbox
technology and techniques can potentially be extended to cloud
infrastructures to prevent malicious content from
compromising specialized infrastructure such as backups that
are used for disaster recovery and business continuity planning.
This paper will discuss existing algorithms related to current
sandbox technology, and extend the work into the “Meta Cloud
Discovery” model, a sandbox integrity-monitoring proposal for
disaster recovery. Finally, implementation examples will be
discussed as well as future research that would need to be
performed to improve the model.
Index Terms—Cloud infrastructure, disaster recovery,
integrity monitoring technique, sandbox.
The authors are with the Department of Computer Science at Sam
Houston State University, Huntsville, TX 77056 USA (e-mail:
bmw005@shsu.edu, qxl005@shsu.edu).
Cite:Brittany M. Wilbert and Qingzhong Liu, "“Meta Cloud Discovery” Model: An Approach to Integrity Monitoring for Cloud-Based Disaster Recovery Planning," International Journal of Information and Education Technology vol. 3, no. 5, pp. 516-521, 2013.