A combined prediction method of industrial internet security situation based on time series

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	A combined prediction method of industrial internet security situation based on time series
	Qi YY(齐盈盈)1,2,3; Shang WL(尚文利)1,3; He, Xiaojun 2
	2019
会议日期	November 15-17, 2019
会议地点	Chongqing, China
关键词	Industrial Internet Network security situation awareness Time series Combination forecast
页码	84-91
英文摘要	Attacks on industrial control systems have different types and various intensities. Predicting the development trend of security state for updating defense strategy in time is important. Every single prediction model has its different emphases, and the accuracy of single prediction model may be reduced when the system is attacked. Combined prediction model integrates the prediction results of multiple single prediction models to improve the overall prediction accuracy. The weight of the combined model is determined by the mean square error of every single model. It is taken a logarithmic function of the mean square error of each single model to enlarge the difference between the superior and inferior models. Then, the simple weight function is taken to determine the weight of each model based on the logarithm result of each model.This approach makes greater use of accurate model information. Through the comparative analysis of the model, the error of the combined prediction method is obviously reduced. Through the comparison and analysis of the weighted method, the error of the weighted method of the combined prediction model proposed in this paper is the minimum. The combined prediction method can provide more accurate defense opinions for network security administrators.
源文献作者	Chongqing Institute of Electronics ; Chongqing University of Posts and Telecommunications ; Digital Communications and Networks
产权排序	1
会议录	ICCNS 2019 - 2019 9th International Conference on Communication and Network Security
会议录出版者	ACM
会议录出版地	New York
语种	英语
ISBN号	978-1-4503-7662-4
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/26195]
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 Institute of Automation, Chinese Academy of Sciences, Shenyang, China 2.Shenyang Ligong University, College of Automation and Electrical Engineering, Shenyang, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
推荐引用方式 GB/T 7714	Qi YY,Shang WL,He, Xiaojun. A combined prediction method of industrial internet security situation based on time series[C]. 见:. Chongqing, China. November 15-17, 2019.