基于大数据生命周期理论的读者隐私风险管理与保护框架构建

Construction of the Privacy Risk Management and Protection Framework for Library Readers Based on Big Data Life Cycle Theory

图书馆读者大数据的安全和隐私保护面临着诸如安全架构、数据隐私风险管理、个人数据被全天候和全方位监视、读者大数据被二次利用等风险,传统的隐私保护技术已不适应大数据时代图书馆隐私保护需求。文章总结归纳了大数据环境下面临的隐私问题,通过分析现有隐私保护机制的不足,构建基于大数据生命周期理论的图书馆读者隐私风险管理与保护框架。

Readers＇ big data security and privacy face a lot of challenges in the aspects of security architecture, data privacy risk management, personal data monitored all-day and all-round, reader data secondary used, and so on, traditional privacy preserving technologies are no longer meeting the needs of the library privacy protection in era of big data. This paper summarizes the problems of big data privacy in library, and analyzes the deficiency of the existing privacy protection mechanism, and constructions of the privacy risk management and protection framework for library readers based on big data life cycle theory.