The data security problems discussion in application of library service platform

Autor: Zhao Xiangfei, Chang Yingcong, Feng Huizun, Huang Min
Jazyk: English<br />French
Rok vydání: 2022
Předmět:
Zdroj: SHS Web of Conferences, Vol 140, p 01026 (2022)
Druh dokumentu: article
ISSN: 2261-2424
DOI: 10.1051/shsconf/202214001026
Popis: With new technology such as big data, cloud computing, artificial intelligence is widely used in the library, library service platform applies in many more libraries. Although big data collection, data analysis and cloud deployment provide a data basis of deploy operation for the platform, but meantime increases risk of data security, so the paper proposes several measures to ensure data security. Based on comparative analysis and literature research method, the paper analyzes qualitatively risk factors for data security from characters of library service platform. It expounds the necessity of data security, and proposes some measures respectively in each stage of data collection, data storage, data access and application, data sharing and updating, data security assessment, in order to promote greatly the level of data security for library.
Databáze: Directory of Open Access Journals