Research on Governmental Data Sharing Based on Local Differential Privacy Approach
Title | Research on Governmental Data Sharing Based on Local Differential Privacy Approach |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Liu, Liping, Piao, Chunhui, Jiang, Xuehong, Zheng, Lijuan |
Conference Name | 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) |
Date Published | Oct. 2018 |
Publisher | IEEE |
ISBN Number | 978-1-5386-7992-0 |
Keywords | blockchain, Collaboration, cybersecurity, data privacy, data sharing, Differential privacy, E-Government, e-government applications, Government, government data processing, government departments, government information resources, governmental data sharing, governmental departments, Information management, information sharing, local differential privacy, Peer-to-peer computing, policy-based governance, privacy, privacy disclosure, privacy protection models, Privacy-preserving, private blockchain, pubcrawl, resilience, Resiliency, sharing statistics, statistical analysis, statistical data |
Abstract | With the construction and implementation of the government information resources sharing mechanism, the protection of citizens' privacy has become a vital issue for government departments and the public. This paper discusses the risk of citizens' privacy disclosure related to data sharing among government departments, and analyzes the current major privacy protection models for data sharing. Aiming at the issues of low efficiency and low reliability in existing e-government applications, a statistical data sharing framework among governmental departments based on local differential privacy and blockchain is established, and its applicability and advantages are illustrated through example analysis. The characteristics of the private blockchain enhance the security, credibility and responsiveness of information sharing between departments. Local differential privacy provides better usability and security for sharing statistics. It not only keeps statistics available, but also protects the privacy of citizens. |
URL | https://ieeexplore.ieee.org/document/8592628 |
DOI | 10.1109/ICEBE.2018.00017 |
Citation Key | liu_research_2018 |
- information sharing
- statistical data
- statistical analysis
- sharing statistics
- Resiliency
- resilience
- pubcrawl
- private blockchain
- Privacy-preserving
- privacy protection models
- privacy disclosure
- privacy
- policy-based governance
- Peer-to-peer computing
- local differential privacy
- blockchain
- information management
- governmental departments
- governmental data sharing
- government information resources
- government departments
- government data processing
- Government
- e-government applications
- E-Government
- differential privacy
- data sharing
- data privacy
- Cybersecurity
- collaboration