Research on Intrusion Detection of Industrial Control System Based on FastICA-SVM Method
文献类型：会议论文
| 作者 | Chen, Haonan2; Liu XD(刘贤达)1,3,4 ; Wang TY(王天宇)1,3,4; Zhang, Xuejing1,3,4
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| 出版日期 | 2021 |
| 会议日期 | July 19-23, 2021 |
| 会议地点 | Dublin, Ireland |
| 关键词 | Intrusion detection FastICA SVM |
| 页码 | 303-311 |
| 英文摘要 | As an important part of guard system, intrusion detection systems have great significance to the security of industrial control systems. Cause the industrial control systems of the on-site environment is often very complicated, the process data extracted on-site have a wide variety of features, and they always have complex associations and are not independent. The intrusion detection algorithms for traditional industrial control systems often do not solve this problem, which results in a decrease in the accuracy, precision and high false negative rate (FNR), false positives rate (FPR). Aiming at solving the current problems, this paper proposes an algorithm combining the Fast Independent Principal Component Analysis (FastICA) and Support Vector Machine (SVM). Finally compared with the SVM and PCA-SVM algorithms, the experimental results show that the accuracy rate has been significantly improved and slight FPR. © 2021, Springer Nature Switzerland AG. |
| 产权排序 | 2 |
| 会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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| 会议录出版者 | Springer Science and Business Media Deutschland GmbH |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-030-78611-3 |
| 源URL | [http://ir.sia.cn/handle/173321/29414]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Liu XD(刘贤达) |
| 作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Beijing, China 2.College of Information Science and Engineering, Northeastern University, Shenyang, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China 4.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Chen, Haonan,Liu XD,Wang TY,et al. Research on Intrusion Detection of Industrial Control System Based on FastICA-SVM Method[C]. 见:. Dublin, Ireland. July 19-23, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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