National Natural Science Foundation of China (No.61363068, No.61662009, No.61772008);Science and Technology Top-notch Talents Support Program of Education Department of Guizhou Province (No.黔教合KY字[2016]060);Guizhou University Introduction of Talent Research Project (No.贵大人基合字 (2015)53号);Postgraduate Innovation Fund of Guizhou University (No.2016050, No.院创201702)
The reasonable pricing of big data is one of the most challenging problems in big data transaction
which needs to be solved urgently.This paper
based on Micali-Rabin's secure computing technology
presents a secure delegation auction scheme with the function of big data pricing.First
based on Micali-Rabin's random vector representation methods
we design an auction
as well as a verification algorithm with the property of the sealed bid.Second
the big data's integrity and non-repudiation of the reserve price are realized by Merkle tree and Bit commitment protocol respectively
especially in the pricing stage the use of a special multi-party security computing protocol to hide the reserve price of big data
whereby ensuring the fairness of the big data transaction.Finally
as the scheme's security and performance analysis indicate that it is particularly suitable for delegation auction in the context of the big data transaction.