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mpfeppat

Multi-Party Function Evaluation with Perfectly Private Audit Trail

The code on this repository is the prototype implementation of the results presented at the 14th International Conference on Applied Cryptography and Network Security http://acns2016.sccs.surrey.ac.uk

regarding the paper entitled : "Verifiable Multi-Party Computation with Perfectly Private Audit Trail"

(the complete reference of the paper will be posted soon)

The modules presented here contain

  • the core arithmetic needed to perform natural operations and pairings on BN- elliptic curves, extension fields, etc.
  • instanciations of the CCE primitive
  • the NIZKPoK needed to compute the PPAT for the test applications
  • the test applications presented in the paper

Running the prototype

  • the file script.py instantiate the CCE primitive: the public parameters, public keys and secret keys
  • the test modules for the PPAT is test_ppats.py of the ppat package
  • to test the applications, load the testApplications.py module of the applications package and then try the functions:
    • testShortestPath(nbClients) => we recommend < 10 clients
    • testAuctions(nbClients) => we recommend < 1000 clients
    • testLinearSystem(nbClients) => we recommend < 4096 clients and square number

where nbClients is an integer parameter...

Implementing new multi-party protocols

Any new multi-party protocol can be implemented -- for example, but not only -- by inheriting the abstract classes of the ppatProtocol.py of the protocols package. Inherit the classes:

  • Circuit to design the circuit evaluation (a circuit is composed of the Gate objects)
  • Worker
  • Client

to compose your multi-party application. See for example the prototype applications presented above.

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