SIA OpenIR  > 工业控制网络与系统研究室
Alternative TitlePSO-OCSVM based industrial control system communication behavior anomaly detection method
尚文利; 万明; 李琳; 曾鹏; 于海斌
Rights Holder中国科学院沈阳自动化研究所
Patent Agent沈阳科苑专利商标代理有限公司 21002
Other AbstractThe invention puts forward a PSO-OCSVM based industrial control system communication behavior anomaly detection method based on an OCSVM algorithm. According to the invention, an improved one-class support vector machine algorithm is adopted to establish a normal communication behavior profile according to a normal Modbus function code sequence, a PSO-OCSVM method for parameter optimization based on a particle swarm optimization (PSO) algorithm is designed, and an intrusion detection model is established to identify abnormal Modbus TCP communication traffic. The method of the invention improves the reliability and efficiency of anomaly detection, and is more suitable for practical application.
PCT Attributes
Application Date2014-11-26
Date Available2017-04-05
Application NumberCN201410692755.2
Open (Notice) NumberCN105703963A
Contribution Rank1
Document Type专利
Recommended Citation
GB/T 7714
尚文利,万明,李琳,等. 基于PSO-OCSVM的工业控制系统通信行为异常检测方法[P]. 2016-06-22.
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