Blockchain Trusted Privacy Service Computing Model for CNN

被引：0
|
作者：
Ding Y. [1 ]
Shen W. [1 ]
Li H.-S. [2 ,3 ]
Zhong Q.-H. [1 ]
Tian M.-Y. [1 ]
Li J. [1 ]
机构：
[1] School of Information, Beijing Wuzi University, Beijing
[2] National Engineering Laboratory for Agri-product Quality Traceability, Beijing Technology and Business University, Beijing
[3] School of Computer Science and Engineering, Beijing Technology and Business University, Beijing
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2022年 / 50卷 / 06期
关键词：
Convolutional neural network; Homomorphic encryption; Privacy protection; Smart contract;
D O I：
10.12263/DZXB.20200731
中图分类号：
学科分类号：
摘要：
Data privacy protection and service environment trust have become important issues with the rapidly increasing amount of data and computing power of services in current era of Mobile Internet. This paper studies the trusted privacy service computing model for typical application scenarios of convolutional neural network. It explores data and model computing methods supporting homomorphic encryption to protect data privacy, builds methods of service certificate storage and calculating equity interests distribution based on blockchain and smart contract technology to ensure the openness, transparency, credibility and traceability of service computing. A novel resource and data service paradigm of cloud environment is explored for resource providers, model owners and users to promote the effective integration of resources and develop sharing economy. Finally, the privacy protection method in the model is analyzed through experiments. © 2022, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码：1399 / 1409
页数：10
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