| 基于改进Apriori算法的铁路网络安全预警方法研究 |
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| 引用本文： | 崔伟健,马小宁,孙思齐. 基于改进Apriori算法的铁路网络安全预警方法研究[J]. 铁路计算机应用, 2021, 30(3): 59-64 |
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| 作者姓名： | 崔伟健 马小宁 孙思齐 |
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| 作者单位： | 1.中国铁道科学研究院，北京 100081 |
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| 基金项目： | 中国国家铁路集团有限公司重大课题（K2019S002） |
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| 摘 要： | 随着大数据技术的飞速发展,基于大数据技术的安全隐患事前感知技术日趋成熟,为分析海量数据和挖掘事故规律提供了有效手段.文章优化、改进数据挖掘技术中经典的Apriori算法,基于改进的Apriori算法,研究提出一种铁路网络安全预警方法,并结合网络安全等级保护要求,构建铁路网络安全指标体系,通过仿真实验,验证算法的正确性和...
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| 关 键 词： | 网络安全 安全预警 数据挖掘 态势感知 等级保护 |
| 收稿时间： | 2020-10-26 |
Railway network security early warning method based on improved Apriori algorithm |
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| Affiliation: | 1.China Academy of Railway Sciences, Beijing 100081, China2.Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China |
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| Abstract: | With the rapid development of big data technology, security hidden risk prior awareness technology based on big data technology is becoming more and more mature, which provides an effective means for analyzing massive data and mining accident rules. This paper optimized and improved the classical Apriori algorithm in data mining technology, based on the improved Apriori algorithm, proposed a railway network security early warning method, and combined with the requirements of network security level protection, constructed the railway network security index system. The correctness and availability of the algorithm were verified by simulation experiments. The research shows that the improved Apriori algorithm can implement the railway network security hidden risk prior awareness and effectively solve the problem of the lack of early warning and prevention means, which has a certain application value in railway network security early warning. |
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