| Title | Research on Feasibility Path of Technology Supervision and Technology Protection in Big Data Environment |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Liu, Hongling |
| Conference Name | 2019 International Conference on Intelligent Transportation, Big Data Smart City (ICITBS) |
| Keywords | Access Control, Big Data, big data environment, big data platform, big data privacy, complexity analysis, Data models, data owners, data privacy, data privacy protection model, Data security, experimental data, human factors, massive data, Metrics, potential value, privacy, privacy protection, Protocols, pubcrawl, query mode design, query privacy protection model, query processing, query protocol design, Resiliency, Scalability, security, security analysis, Servers, stand-alone simulation experiment, technology protection |
| Abstract | Big data will bring revolutionary changes from life to thinking for society as a whole. At the same time, the massive data and potential value of big data are subject to many security risks. Aiming at the above problems, a data privacy protection model for big data platform is proposed. First, the data privacy protection model of big data for data owners is introduced in detail, including protocol design, logic design, complexity analysis and security analysis. Then, the query privacy protection model of big data for ordinary users is introduced in detail, including query protocol design and query mode design. Complexity analysis and safety analysis are performed. Finally, a stand-alone simulation experiment is built for the proposed privacy protection model. Experimental data is obtained and analyzed. The feasibility of the privacy protection model is verified. |
| DOI | 10.1109/ICITBS.2019.00077 |
| Citation Key | liu_research_2019 |
Research on Feasibility Path of Technology Supervision and Technology Protection in Big Data Environment