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| 基于数据挖掘的工业控制系统防危机制研究 | |
| 引用本文： | 徐新国,朱廷劭,康卫,孙保辉,房志奇,王焱. 基于数据挖掘的工业控制系统防危机制研究[J]. 电子技术应用, 2012, 38(5): 87-90 |
| 作者姓名： | 徐新国 朱廷劭 康卫 孙保辉 房志奇 王焱 |
| 作者单位： | 1. 中国电子信息产业集团有限公司第六研究所,北京,100083 2. 中国科学院研究生院信息科学与工程学院,北京,100190 |
| 摘 要： | 随着信息技术和工业自动化水平的提升,工业控制系统越来越复杂,错误也越来越难检测和避免,且常常引发工业事故,危及工业生产、国家经济安全和人民生命财产安全。针对工控系统存在的安全问题,采用复杂网络分析、数据预测、专家分析、自适应升降级等技术,提出一种包含全局防危、主动防危、实时防危、自主防危和防危认证的工业控制系统防危机制,实现对工业控制系统的安全防护。 |
| 关 键 词： | 工业控制系统 防危性 数据挖掘 |
Building safety mechanism in industrial control system based on data mining |
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| Xu Xinguo , Zhu Tingshao , Kang Wei , Sun Baohui , Fang Zhiqi , Wang Yan. Building safety mechanism in industrial control system based on data mining[J]. Application of Electronic Technique, 2012, 38(5): 87-90 | |
| Authors: | Xu Xinguo Zhu Tingshao Kang Wei Sun Baohui Fang Zhiqi Wang Yan |
| Affiliation: | 1(1.NCSE,Beijing 100083,China; 2.School of Information Science and Engineering,GUCAS,Beijing 100190,China) |
| Abstract: | With the promotion of information technology and industrial automation,industrial control system becomes more and more complicated which makes it more difficult to detect running errors.Errors usually lead to industry incidences and make national economy and civil property dangerous.Safety mechanism in industry based on data mining intends to apply complex network analysis,data prediction,expert analysis and self-adaptive downgrade and upgrade technologies to solve safety problems in industry.In sum,the paper present to use data mining technology to study the safety mechanism including global safety,initiative safety,real-time safety,self safety and safety authentication. |
| Keywords: | industrial control system safety data mining |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |