Intrusion detection algorithm based on OCSVM in industrial control system
文献类型：期刊论文
| 作者 | Shang WL(尚文利) ; Zeng P(曾鹏); Wan M(万明); Li L(李琳); An PF(安攀峰)
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| 刊名 | Security and Communication Networks
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| 出版日期 | 2016 |
| 卷号 | 9期号:10页码:1014-1049 |
| 关键词 | SVM intrusion detection PSO |
| ISSN号 | 1939-0114 |
| 产权排序 | 1 |
| 通讯作者 | 曾鹏 |
| 中文摘要 | In order to detect abnormal communication behaviors efficiently in today's industrial control system, a new intrusion detection algorithm based on One-Class Support Vector Machine (OCSVM) is proposed in this paper. In this algorithm, a normal communication behavior model is established by using OCSVM, and the Particle Swarm Optimization algorithm is designed to optimize OCSVM model parameters. Furthermore, we adopt the normal Modbus function code sequence to train OCSVM model, and then use this model to detect abnormal Modbus TCP traffic. Our simulation results show that the proposed algorithm not only is efficient and reliable but also meets the real-time requirements of anomaly detection in industrial control system. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000379052200009 |
| 源URL | [http://ir.sia.cn/handle/173321/17603]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Shang WL,Zeng P,Wan M,et al. Intrusion detection algorithm based on OCSVM in industrial control system[J]. Security and Communication Networks,2016,9(10):1014-1049. |
| APA | Shang WL,Zeng P,Wan M,Li L,&An PF.(2016).Intrusion detection algorithm based on OCSVM in industrial control system.Security and Communication Networks,9(10),1014-1049. |
| MLA | Shang WL,et al."Intrusion detection algorithm based on OCSVM in industrial control system".Security and Communication Networks 9.10(2016):1014-1049. |
入库方式： OAI收割
来源：沈阳自动化研究所
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