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Utilizing linear subspaces to improve cloud security

Zage, David J.; Obert, James O.

Cloud computing is quickly becoming the infrastructure of choice for hosting data and software solutions for many individuals, businesses, and governmental organizations. While such systems may provide increased flexibility and utility, efficient and easily-managed cloud storage solutions that ensure data confidentiality are needed to maintain this trend. In this work, we propose an algebraic-based encoding solution to provide data confidentiality. Additionally, through the use of the various algebraic subspaces present in the coding process, we are able to verify basic Service Level Agreement (SLA) guarantees. We demonstrate the feasibility of our solution through implementations and deployments on test systems. © 2012 IEEE.