Industrial Gateway Protocol Parsing for Multi-Protocol Identification
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Solution Overview
Problem
Current industrial control protocols lack standardization and efficient parsing capabilities, with most existing solutions limited to specific protocols and simulation scenarios, making it difficult to identify and parse industrial control protocols in real-world industrial control networks.
Innovation Solution
A method utilizing an industrial gateway to capture and parse messages through serial and network ports, extracting features, and employing intelligent identification combined with manual intervention to dynamically extend protocol templates, supporting identification and parsing of multiple industrial control protocols, including custom and unknown protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing protocol parsing methods are used, then specific protocols can be parsed, but the number of supported protocols is limited and cannot handle unknown protocols
Solution Approach 1:
The system performs self-learning by automatically capturing protocol messages, extracting features, and generating parsing templates without manual intervention for each new protocol. The industrial gateway autonomously expands its protocol support capability by learning from captured messages and updating its template library dynamically.
Solution Approach 2:
The system changes the parameter of protocol identification from static (pre-defined protocols only) to dynamic (adaptive learning). By using machine learning algorithms that continuously learn from captured messages, the system can identify and parse unknown protocols by extracting features and comparing them against learned patterns, thereby expanding supported protocols without proportional increase in system complexity.
2Adaptability or versatility
If protocol formats are customized without standard delimiters, then protocol flexibility increases, but parsing difficulty increases
Solution Approach 1:
The system replaces traditional mechanical parsing methods (which rely on fixed delimiters and known formats) with intelligent information processing. Machine learning algorithms automatically analyze message structures, extract features, and identify patterns in customized protocols without requiring standard delimiters. This substitution enables the system to handle flexible, non-standardized protocols by using computational intelligence rather than rigid parsing rules.
3Adaptability or versatility
If more protocols are supported, then system versatility improves, but identification accuracy may decrease due to increased complexity
Solution Approach 1:
The system segments the protocol identification process into distinct stages: message capture, feature extraction, template matching, and parsing. By dividing the complex task of identifying diverse protocols into manageable segments, the system maintains high accuracy even when supporting many protocols. Each segment focuses on specific aspects, allowing the system to handle protocol diversity without compromising identification precision.
Data Source
AI summary
Disclosed is a method for identifying and parsing an industrial control protocol based on an industrial gateway. The industrial gateway captures, through a serial port and a network port, messages sent from a host computer and a lower computer to the industrial gateway, extracts features representing different protocol types and protocol fields from the messages, and identifies and parses the messages based on protocol character features.