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基于PSO-SVM的Modbus TCP通讯的异常检测方法
Alternative TitleModbus/TCP Communication Anomaly Detection Algorithm Based on PSO-SVM
尚文利; 张盛山; 万明; 曾鹏
Department工业控制网络与系统研究室
Source Publication电子学报
ISSN0372-2112
2014
Volume42Issue:11Pages:2314-2320
Indexed ByEI ; CSCD
EI Accession number20145300388113
CSCD IDCSCD:5299315
Contribution Rank1
Funding Organization国家自然科学基金(No .61164012);国家863高技术研究发展计划
Keyword微粒子群 支持向量机 Modbus功能码 序列异常检测 工业安全网关
Abstract如何有效检测和防御工业病毒对应用层协议数据的攻击是目前工业安全网关研究的难点问题。本文提出了将Modbus TCP通讯流量转换为异常检测模型所需数据形式的预处理方法,设计了一种利用粒子群PSO算法进行参数寻优的PSO-SVM算法。该方法根据Modbus功能码序列中的模式短序列出现的频率,识别出异常的Modbus TCP通讯流量。最后,通过实验数据分析,说明了提出方法可以有效实现对Modbus功能码序列的异常检测。
Other AbstractTo detect and defend industry virus attacks to application layer protocol data is difficult issues in study of industrial security gateway .In this paper ,a data pre-processing method is presented ,which can convert Modbus TCP traffic into anomaly de-tection model ,and a PSO-SVM algorithm is designed ,which optimizes parameters by advanced Particle Swarm Optimization (PSO) algorithm .The method identifies anomalies of Modbus TCP traffic according to appear frequencies of the mode short sequence of Modbus function code sequence .Finally ,experimental data analysis shows that the proposed method can effectively detect abnormal of Modbus function code sequence .
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15446
Collection工业控制网络与系统研究室
Corresponding Author尚文利
Affiliation1.中国科学院沈阳自动化研究所
2.中科院网络化控制系统重点实验室
3.中国科学院大学
Recommended Citation
GB/T 7714
尚文利,张盛山,万明,等. 基于PSO-SVM的Modbus TCP通讯的异常检测方法[J]. 电子学报,2014,42(11):2314-2320.
APA 尚文利,张盛山,万明,&曾鹏.(2014).基于PSO-SVM的Modbus TCP通讯的异常检测方法.电子学报,42(11),2314-2320.
MLA 尚文利,et al."基于PSO-SVM的Modbus TCP通讯的异常检测方法".电子学报 42.11(2014):2314-2320.
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