【专题】装备大数据安全保护研究

本文通过梳理大数据技术发展及数据资源建设现状，可视化呈现了数据资源建设使用中出现的数据泄露现状及趋势，剖析了数据泄露的根本原因。在分析军队装备大数据建设及规划情况的基础上，建立了装备大数据安全问题分析方法，即在数据采集阶段、数据传输阶段、数据存储阶段和数据使用阶段，分别构建装备大数据不同维度安全要素，包括安全威胁、安全主体和安全保障，并应用于分析装备大数据安全问题。此外，本研究还深入分析了装备大数据建设应用过程中四个阶段存在的安全风险，构建了装备大数据全周期、立体化、协同化的安全防护体系，研究了装备大数据安全保护技术框架，包括以大数据访问控制技术、安全检索技术和安全计算技术为支撑的大数据安全技术和以匿名隐私保护技术和差分隐私保护技术为支撑的大数据保护技术。希翼研究结果能够为装备大数据全寿命周期内的安全防护提供一定借鉴。

Security for equipment used for big data

By considering the development of big data technology and the status quo in the construction of data resources, this paper surveys the trends of data leakage in the construction and use of data resources to identify its root causes. The design and construction of equipment for big data used by the army are used to develop a method to analyze security-related problems for big data equipment. The proposed method considers the stages of data acquisition, transmission, storage, and use to this end. Elements of security in different dimensions of equipment for big data, including the threats posed, subjects considered, and guarantees provided, are constructed to analyze the relevant issues. We also analyze security-related risks in four stages of the construction and application of equipment for big data, construct a three-dimensional collaborative security protection system for it, and examine the framework for technological security provided by it, including from the perspectives of big data access control technology, security retrieval technology, and security computing technology, The results have important guiding significance for the protection of equipment for big data.