SecureMR: Secure MapReduce Computation Using Homomorphic Encryption and Program Partitioning
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BIO
Ana Milanova is an associate professor in the Department of Computer Science at Rensselaer Polytechnic Institute. Her research interests are in the areas of software engineering, compilers, and programming languages. Particularly, she is interested in program analysis and its applications to security, software verification, testing and understanding.
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ABSTRACT In cloud computing customers upload data and computation to cloud providers. As they upload their data to the cloud provider, they typically give up data confidentiality. We develop SecureMR, a system that analyzes and transforms MapReduce programs to operate over encrypted data. SecureMR makes use of partially homomorphic encryption and a trusted client. We evaluate SecureMR on a set of complex computation-intensive MapReduce benchmarks. |
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License: CC-2.5
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