摘要
随着“互联网+”“两化融合”等国家战略的深入推进,工业信息安全上升到了一个新高度,引发了来自各方的持续关注。情报研究作为企业竞争、行业管理及军事竞争等领域的重要手段,是工业信息安全领域的重点工作之一。文章基于大数据技术,列出了工业信息安全情报研究的六大类别多源数据,分析了工业信息安全情报分析的难点,给出了基于大数据的工业信息安全情报分析模型,并提出了基于大数据的工业信息安全情报分析平台架构。
With the deepening of national strategy such as "Internet +" and "Integration of informatization and industrialization", industrial information security has risen to an unprecedented level, attracting sustained attention from all sides.As an important means in the fields of enterprise competition, industry management and military competition, intelligence research is one of the key work in the field of industrial information security.Based on the big data technology, this paper listed the six categories of multi-source data of industrial information security intelligence research, analyzed the difficulties of industrial information security intelligence analysis, and given the model of industrial information security intelligence analysis based on big data And put forward the architecture of industrial information security intelligence analysis platform based on big data.
作者
李敏
孙军
张哲宇
Li Min;Sun Jun;Zhang Zheyu(China Industrial Control Systems Cyber Emergency Response Team, Beijing 100040)
出处
《网络空间安全》
2019年第4期67-72,共6页
Cyberspace Security
基金
工业和信息化部工业转型升级重点项目“面向工业控制系统的安全可靠公共技术服务平台”(项目编号:ZB1514003),工业和信息化部财务司专项“工业控制系统信息安全技术测试和风险验证平台”(项目编号:ZB1714003)
关键词
大数据
情报分析
工业信息安全
平台架构
big data
intelligence analysis
industrial information security
platform architecture