Private and Cheating-Free Outsourcing of Algebraic Computations

  • Authors:
  • David Benjamin;Mikhail J. Atallah

  • Affiliations:
  • -;-

  • Venue:
  • PST '08 Proceedings of the 2008 Sixth Annual Conference on Privacy, Security and Trust
  • Year:
  • 2008

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Abstract

We give protocols for the secure and private outsourcing of linear algebra computations, that enable a client to securely outsource expensive algebraic computations (like the multiplication of huge matrices) to two remote servers, such that the servers learn nothing about the customer's private input or the result of the computation,and any attempted corruption of the answer by the servers is detected with high probability. The computational work done locally by the client is linear in the size of its input and does not require the client to carry out locally any expensive encryptions of such input.The computational burden on the servers is proportional to the time complexity of the current practically used algorithms for solving the algebraic problem (e.g., proportional to n^3 for multiplying two n x n matrices). If the servers were to collude against the client,then they would only find out the client's private inputs, but they would not be able to corrupt the answer without detection by the client.