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Linz, Austria
Aug. 31, 2009 to Sept. 4, 2009
ISBN: 978-0-7695-3763-4
pp: 122-126
Although information sharing in supply chain management dramatically reduces costs, parties are reluctant to do so, mainly due to fear of information leakage. Solutions based on secure multi-party computation guarantee privacy and correctness, at an extra communication and computation cost. Efficiency is a major concern for practical solutions. The best known solution with public indexes selection is due to Li and Atallah. It has the drawback of requiring a secure permutation on every round of the protocol, which turns to be very expensive. We therefore, propose a probability-based technique to reduce the number of secure permutations required by such solution, improving overall practical performance.
linear programming, secure multi-party computation, supply-chain optimization
Rafael Deitos, Florian Kerschbaum, "Improving Practical Performance on Secure and Private Collaborative Linear Programming", DEXA, 2009, 2012 23rd International Workshop on Database and Expert Systems Applications, 2012 23rd International Workshop on Database and Expert Systems Applications 2009, pp. 122-126, doi:10.1109/DEXA.2009.32
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