Industrial communication intrusion detection algorithm based on improved one-class SVM
文献类型：会议论文
| 作者 | Shang WL(尚文利) ; Li L(李琳); Wan M(万明); Zeng P(曾鹏)
|
| 出版日期 | 2015 |
| 会议日期 | December 14-16, 2015 |
| 会议地点 | London, United kingdom |
| 关键词 | One-class Svm Intrusion Detection Modbus Function Code Pso |
| 页码 | 21-25 |
| 英文摘要 | Anomaly detection based on communication behavior is one of difficult problems of industrial control systems for intrusion detection. A normal communication behavior control model is established by using improved one-class SVM and a PSO-OCSVM algorithm based on particle swarm algorithm is designed to optimize parameters in this paper. This method established an intrusion detection model to identify abnormal Modbus TCP traffic according to the normal Modbus function code sequence. And the efficiency, reliability and real-time of the proposed method met the industrial control system for anomaly detection are proved by simulation results. © 2015 Infonomics Society. |
| 源文献作者 | Brunei University; Coventry University; et al.; IEEE UK/RI Computer Chapter; Infonomics Society; University of Kent |
| 产权排序 | 1 |
| 会议录 | 2015 World Congress on Industrial Control Systems Security, WCICSS 2015
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-908320-58-2 |
| WOS记录号 | WOS:000380475000002 |
| 源URL | [http://ir.sia.cn/handle/173321/18671]  |
| 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.Shenyang Ligong University, Shenyang, 110159, China 2.Shenyang Institute of Automation Chinese Academy of Science, Shenyang, 110016, China |
| 推荐引用方式 GB/T 7714 | Shang WL,Li L,Wan M,et al. Industrial communication intrusion detection algorithm based on improved one-class SVM[C]. 见:. London, United kingdom. December 14-16, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
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