Feature Extraction and Recognition Method of Industrial Internet of Things Terminal Based on MGA-SVM Dimension Reduction
文献类型：会议论文
| 作者 | Xu Chuanjia; Shang WL(尚文利) ; Chen CY(陈春雨); Zhang, Mingxuan; Li, Shihao; Fu, Lijun
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| 出版日期 | 2020 |
| 会议日期 | November 6-8, 2020 |
| 会议地点 | Shanghai, China |
| 关键词 | dimensionality reduction genetic algorithm integrated learning terminal identity |
| 页码 | 1967-1972 |
| 英文摘要 | The Industrial Internet of Things (IIoT) enables massive industrial control terminals to be interconnected. In order to avoid the intrusion of illegal terminals into the system, the terminals must be accurately identified. Aiming at the problem of low recognition accuracy of current terminal recognition scheme, a feature extraction and recognition method of industrial control terminal based on MGA-SVM dimension reduction is proposed. By collecting the message information returned by the scanned object from all kinds of terminals in the scanning network, a hybrid method of multi parent cross mutation genetic algorithm and support vector machine is proposed to extract and optimize the acquired data to obtain the best subset that can mark the terminal features. On this basis, the method of industrial control terminal recognition based on integrated learning is proposed. Experimental results show that this method can effectively improve the recognition accuracy. |
| 产权排序 | 1 |
| 会议录 | Proceedings - 2020 Chinese Automation Congress, CAC 2020
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-7687-1 |
| WOS记录号 | WOS:000678697002010 |
| 源URL | [http://ir.sia.cn/handle/173321/30843]  |
| 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 | Shang WL(尚文利) |
| 作者单位 | 1.State Grid Jiangsu Electric Power Co. Ltd., Information Telecommunication Branch, Nanjing, China 2.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China 3.Shenyang Ligong University, College of Automation and Electrical Engineering, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Xu Chuanjia,Shang WL,Chen CY,et al. Feature Extraction and Recognition Method of Industrial Internet of Things Terminal Based on MGA-SVM Dimension Reduction[C]. 见:. Shanghai, China. November 6-8, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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