Research on privacy protection mechanism and technology of educational big data

Autor: Jieyu YUE, Chaoyang LUO, Jingshu DING, Qing LI
Jazyk: čínština
Rok vydání: 2020
Předmět:
Zdroj: 大数据, Vol 6, Pp 2020054-1 (2020)
Druh dokumentu: article
ISSN: 2096-0271
DOI: 10.11959/j.issn.2096-0271.2020054
Popis: With the deepening application of big data technology in the field of education,the potential risks such as personal privacy security that may be brought by the collection,analysis and sharing of educational data can not be ignored.How to ensure the safety of educational data,reasonable and compliance analysis and utilization of educational data are the urgent problems to be solved.Based on the characteristics of education big data,the privacy connotation of education big data was focused on.The privacy protection framework of education big data was put forward around the privacy protection needs of stakeholders in the life cycle of education data.And the current privacy protection technology system that can be used in education field was combed,so as to provide support for various application links of education big data,promote the standardized and orderly development of education big data.
Databáze: Directory of Open Access Journals