Industrial Control Audit Using Protocol Templates and Dual Security Analysis
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Solution Overview
Problem
Existing manual audit methods for industrial control systems are inadequate in addressing the complex security landscape of the Industrial Internet, with increasing vulnerabilities and attacks, necessitating more comprehensive and efficient network security auditing strategies.
Innovation Solution
An industrial control audit method and apparatus that acquires protocol and network behavior data, determines protocol rule templates through similarity analysis, performs anomaly detection using trained models, and evaluates security events based on statistical features and protocol data analysis to provide a comprehensive security evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual audit methods are used for industrial control systems, then implementation simplicity is maintained, but security detection capability and efficiency are insufficient
Solution Approach 1:
The audit system is segmented into multiple specialized modules: protocol data acquisition module, network behavior data acquisition module, protocol rule template matching module, control information parsing module, statistical feature analysis module, and security event evaluation module. Each module handles a specific aspect of the audit process, improving detection capability while maintaining manageable complexity through functional decomposition
Solution Approach 2:
Protocol rule templates serve as intermediaries between raw protocol data and security analysis. The system matches protocol data against predefined templates to extract control information, enabling automated security detection without requiring complex custom parsing logic for each protocol type
2Measurement precision
If comprehensive protocol analysis is performed on all industrial control protocols, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
Protocol rule templates are pre-configured with expected control information structures and security event patterns. During audit operations, the system performs rapid template matching rather than comprehensive protocol analysis, significantly reducing processing time while maintaining detection accuracy for known protocol types
Solution Approach 2:
The system performs partial protocol analysis by focusing only on extracting control information relevant to security events rather than analyzing complete protocol messages in detail. This selective approach reduces processing overhead while maintaining sufficient detection accuracy
3Reliability
If dual security audits on protocol data and network behavior data are implemented, then security detection comprehensiveness is improved, but system complexity and resource consumption increase
Solution Approach 1:
The system merges protocol data analysis results with network behavior data analysis results in a unified security event evaluation process. Both data sources are processed through their respective specialized modules and then integrated to produce comprehensive security assessments, improving detection coverage while managing complexity through coordinated module integration
Data Source
AI summary
An industrial control audit method and apparatus based on Industrial Internet determine a protocol rule template corresponding to industrial control protocol data based on a similarity between the protocol data and the protocol rule templates of various industrial control protocols in a protocol database; parse control information of the protocol data based on the corresponding template; determine a first audit result based on the control information, complete message data, and data area message data of the protocol data; determine a second audit result based on statistical features of network traffic per unit time in network behavior data, and/or based on differences between current and historical running program information in the network behavior data; and evaluate a severity of network security events based on the first and the second audit results to obtain a security evaluation for a target audit time period, enabling prompt and accurate detection of such events.