Cross-Domain Dynamic Security Risk Analysis Method of Industrial Control System Based on Probabilistic Attack Graph

doi:10.3969/j.issn.1671-1122.2023.09.008

Abstract

Abstract:

Security risk analysis is the foundation for ensuring the long-term safe and stable operation of industrial control systems. The characteristics of cyber-physical coupling make the system security risk increase sharply. In order to realize accurate security situation awareness of large-scale industrial control systems, a cross-domain dynamic security risk analysis framework based on probabilistic attack graph was proposed. Firstly, the cross-domain attack graph was automatically generated by cross-domain attack graph generation algorithm based on system security metadata, system topology and association constraints between preconditions and postconditions of vulnerabilities in security knowledge graph. Then, based on the cross-domain attack graph, the basic attributes of vulnerabilities and the time-varying characteristics of threats were incorporated into the risk propagation probability calculation to realize the cross-domain dynamic security risk analysis of industrial control system. The experimental results show that the method realizing the automatic cross-domain dynamic security risk analysis of industrial control systems, and the representation of the two-layer attack graph effectively improves the convenience of security analysts in analyzing complex systems.

Key words: industrial control system, probabilistic attack graph, knowledge graph, dynamic security risk analysis

CLC Number:

TP309

PU Junyan, LI Yahui, ZHOU Chunjie. Cross-Domain Dynamic Security Risk Analysis Method of Industrial Control System Based on Probabilistic Attack Graph[J]. Netinfo Security, 2023, 23(9): 85-94.

Figures/Tables 15

References 26

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节点名称	节点的属性信息
设备	id号、功能描述、所处区域、概率
软件	id号、功能描述、CPE类型
漏洞	id号、描述信息、CVSS分值、发布时间、前后置条件、概率

类型	条件	处理方式
是否存在CVSS3信息	存在	直接由CVSS3得到利用漏洞所需的权限
是否存在CVSS3信息	不存在	由漏洞的文本描述得到权限
漏洞影响的产品类型	单个	直接由CPE得到漏洞的影响对象
漏洞影响的产品类型	多个	结合实验场景得到影响对象
知识图谱中漏洞是否唯一	不唯一	为每个漏洞节点分别生成前后置条件
知识图谱中漏洞是否唯一	唯一	为唯一的漏洞节点生成前后置条件

源主机	目的主机
MES客户端	Web服务器
Web服务器	MES服务器
MES服务器	PHD服务器
PE用户	Web服务器
MES客户端	MES服务器
PHD服务器	CS-3000的OPC服务器
CS-3000的OPC服务器	PHD服务器
APC服务器	CS-3000的OPC服务器
操作员站	FCS控制站
工程师站	FCS控制站
FCS控制站	操作员站
FCS控制站	工程师站

区域	子区域	设备名称	功能描述	漏洞信息
控制网	横河 CS-3000 DCS	FCS1、FCS2、FCS3	现场总线控制系统	CVE-2022-33939
		OPC服务器	采集工厂的实时数据	CVE-2014-5426
		操作员站	监视工厂运行情况	CVE-2022-24287等
		工程师站	监视运行情况，发送控制指令	CVE-2018-8838等
数采网	—	PHD服务器	主服务器，集中处理和存储来自各装置和各系统的数据	CVE-2016-2280等
数采网	—	APC服务器	先进过程控制	没有漏洞
信息网	—	PE用户	通过浏览器了解现场运行情况	CVE-2018-0851等
		MES客户端	数据访问客户端	CVE-2023-24892等
		Web服务器	提供网页服务	CVE-2023-25690等
		MES服务器	工厂信息管理	CVE-2009-1996等

区域	设备名称	功能描述
现场设备	执行器（valve 1-20）	调节流量、液位等物理变量
现场设备	传感器（sensor 1-21）	获得流量、温度等物理变量的实时数值