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2022-09-16
Wu, Yiming, Lu, GeHao, Jin, Na, Fu, LiYu, Zhuan Zhao, Jing.  2021.  Trusted Fog Computing for Privacy Smart Contract Blockchain. 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP). :1042—1047.
The fog platform is very suitable for time and location sensitive applications. Compared with cloud computing, fog computing faces new security and privacy challenges. This paper integrates blockchain nodes with fog nodes, and uses multi-party secure computing (MPC) in smart contracts to realize privacy-protected fog computing. MPC technology realizes encrypted input and output, so that participants can only get the output value of their own function. It is impossible to know the input and output of other people, and privacy calculation is realized. At the same time, the blockchain can perform network-wide verification and consensus on the results calculated by the MPC under the chain. Ensure the reliability of the calculation results. Due to the integration of blockchain and fog nodes, access control and encryption are guaranteed, integrity and isolation are provided, and privacy-sensitive data is controlled. As more complex topological structures emerge, the entire chain of fog nodes must be trusted. This ensures the network security of distributed data storage and network topology, users and fog service providers. Finally, trusted fog computing with privacy protection is realized.
2021-05-13
Feng, Liu, Jie, Yang, Deli, Kong, Jiayin, Qi.  2020.  A Secure Multi-party Computation Protocol Combines Pederson Commitment with Schnorr Signature for Blockchain. 2020 IEEE 20th International Conference on Communication Technology (ICCT). :57—63.

Blockchain is being pursued by a growing number of people with its characteristics of openness, transparency, and decentralization. At the same time, how to secure privacy protection in such an open and transparent ledger is an urgent issue to be solved for deep study. Therefore, this paper proposes a protocol based on Secure multi-party computation, which can merge and sign different transaction messages under the anonymous condition by using Pedersen commitment and Schnorr Signature. Through the rationality proof and security analysis, this paper demonstrates the private transaction is safe under the semi-honest model. And its computational cost is less than the equivalent multi-signature model. The research has made some innovative contributions to the privacy computing theory.