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2013 IEEE Sixth International Conference on Cloud Computing (2012)
Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
ISSN: 2159-6182
ISBN: 978-1-4673-2892-0
pp: 285-294
The cloud offers unprecedented access to computation.  However, ensuring the privacy of that computation remains a significant challenge.  In this paper, we address the problem of distributing computation onto the cloud in a way that preserves the privacy of the computation's data even from the cloud nodes themselves.  The approach, called sTile, separates the computation into small subcomputations and distributes them in a way that makes it prohibitively hard to reconstruct the data.  We evaluate sTile theoretically and empirically: First, we formally prove that sTile systems preserve privacy.  Second, we deploy a prototype implementation on three different networks, including the globally-distributed PlanetLab testbed, to show that sTile is robust to network delay and efficient enough to significantly outperform existing privacy-preserving approaches.
Tiles, Assembly, Privacy, Crystals, Software systems, Data privacy, Computer architecture, sTile, privacy, privacy-preserving computation, private cloud computing, cloud, self-assembly, tile assembly model
Yuriy Brun, Nenad Medvidovic, "Keeping Data Private while Computing in the Cloud", 2013 IEEE Sixth International Conference on Cloud Computing, vol. 00, no. , pp. 285-294, 2012, doi:10.1109/CLOUD.2012.126
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