Abnormal Traffic Detection of Industrial Edge Network Based on Deep Nature Learning
文献类型：会议论文
| 作者 | Liu Q(刘琦)1,4 ; Zhang BW(张博文)1,3; Zhao JM(赵剑明)1,3; Zang CZ(臧传治)1,3; Wang, Xibo4; Li, Tong2
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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 | Industrial edge network Abnormal flow detection Deep learning Convolutional Neural Network |
| 页码 | 622-632 |
| 英文摘要 | In view of the network and application security risks in the field of industrial Internet edge computing, a method for classifying abnormal traffic of industrial edge network based on Convolution Neural Network (CNN) is presented, which is designed by using feature self-learning through analyzing the substantial flow content and protocol hierarchy characteristics of edge network packets. Authors present an abnormal traffic detection model for industrial edge network based on CNN, by using the preprocessed raw traffic data as sample data to directly learn features. The experimental results show that the average accuracy of the trained and optimized model is 98.76%, which can meet the practical application standard of the industrial edge network anomaly traffic detection task. |
| 产权排序 | 1 |
| 会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 |
| 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/173321/29413]  |
| 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 | Zang CZ(臧传治) |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.State Grid Liaoning Electric Power Research Institute, Shenyang 110004, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 4.School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China |
| 推荐引用方式 GB/T 7714 | Liu Q,Zhang BW,Zhao JM,et al. Abnormal Traffic Detection of Industrial Edge Network Based on Deep Nature Learning[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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