Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICEBE.2018.00017 | 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) |
Keywords | Field | DocType |
government departments, data sharing, privacy-preserving, blockchain, local differential privacy | Internet privacy,Information management,Differential privacy,Credibility,Computer science,Data sharing,Usability,Knowledge management,Blockchain,Information sharing,Government | Conference |
ISBN | Citations | PageRank |
978-1-5386-7993-7 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liping Liu | 1 | 11 | 8.10 |
| Chunhui Piao | 2 | 72 | 10.33 |
| Xuehong Jiang | 3 | 1 | 0.69 |
| Lijuan Zheng | 4 | 61 | 9.56 |