Government and enterprise data security sharing method based on differential privacy protection

Xiaomin Xu; Zhenglei Zhu; Jiange Liu; Xin Liu; Qingxuan Guo

doi:10.1117/12.2668452

28 March 2023 Government and enterprise data security sharing method based on differential privacy protection

Xiaomin Xu, Zhenglei Zhu, Jiange Liu, Xin Liu, Qingxuan Guo

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125660C (2023) https://doi.org/10.1117/12.2668452
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

The security of government and enterprise data sharing is very important and critical. To increase the number of data sharing, create a more stable transmission and processing environment, and reduce network threats, this paper studies the security sharing method of government and enterprise data based on differential privacy protection. Firstly, the government and enterprise data encryption are described, and the Tendermint differential overlapping interactive sharing nodes are deployed in the preset area. Then, based on this, the interactive differential privacy protection data sharing model is designed, and the threat identification method is used to achieve data security sharing. The experimental results show that compared with the traditional proxy encryption data security sharing test group and the traditional CP-ABE data security sharing test group, the differential privacy protection sharing test group designed in this paper achieves relatively more times of one-way data security sharing, which indicates that the proposed method has a small error and fast speed in the actual data transmission process. The data processing in the region has less restrictive conditions and has practical application value.

Citation Download Citation

Xiaomin Xu, Zhenglei Zhu, Jiange Liu, Xin Liu, and Qingxuan Guo "Government and enterprise data security sharing method based on differential privacy protection", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125660C (28 March 2023); https://doi.org/10.1117/12.2668452

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data privacy

Data modeling

Computer security

Data conversion

Data transmission

Design and modelling

Data acquisition

Show All Keywords

Keywords/Phrases

Search In:

Publication Years