摘要
Widespread applications of 5G technology have prompted the outsourcing of computation dominated by the Internet of Things(IoT)cloud to improve transmission efficiency,which has created a novel paradigm for improving the speed of common connected objects in IoT.However,although it makes it easier for ubiquitous resource-constrained equipment that outsources computing tasks to achieve high-speed transmission services,security concerns,such as a lack of reliability and collusion attacks,still exist in the outsourcing computation.In this paper,we propose a reliable,anti-collusion outsourcing computation and verification protocol,which uses distributed storage solutions in response to the issue of centralized storage,leverages homomorphic encryption to deal with outsourcing computation and ensures data privacy.Moreover,we embed outsourcing computation results and a novel polynomial factorization algorithm into the smart contract of Ethereum,which not only enables the verification of the outsourcing result without a trusted third party but also resists collusion attacks.The results of the theoretical analysis and experimental performance evaluation demonstrate that the proposed protocol is secure,reliable,and more effective compared with state-of-the-art approaches.
基金
This work was supported by the National Natural Science Foundation of China under Grant Nos.61962009 and 62262058
Science and Technology Major Support Program of Guizhou Province under Grant No.20183001
Key Program of the National Natural Science Union Foundation of China under Grant No.U1836205
Science and Technology Program of Guizhou Province under Grant No.ZK[2021]325
Project of High-level Innovative Talents of Guizhou Province under Grant No.[2020]6008
Youth Growth Fund by Guizhou Provincial Education Department under Grant No.KY[2017]318
Foundation of Postgraduate of Guizhou Province under Grant No.YJSCXJH2019101
Science and Technology Program of Guiyang under Grant No.[2021]1-5
Science and Technology Planning Project of Tongren Municipality under Grant No.[2020]78.
