Network Traffic Mapping via Metadata for IoT System Identification
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Solution Overview
Problem
Existing network security systems struggle to effectively identify and classify network systems, particularly in environments with diverse and rapidly changing IoT devices, leading to vulnerabilities and difficulties in applying appropriate security measures.
Innovation Solution
A system mapping component that parses network traffic metadata to generate network system maps without deep packet inspection, identifying network systems and their devices based on headers and footers, enabling efficient and resource-saving classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deep packet inspection is performed to identify and classify network systems, then measurement precision and reliability improve, but processing time and computational resources increase significantly
Solution Approach 1:
The patent extracts only the essential metadata fields (headers and footers) from network packets that are sufficient for system identification, rather than performing complete deep packet inspection of all packet contents. This selective extraction maintains identification accuracy while significantly reducing processing time and computational overhead.
Solution Approach 2:
The patent applies partial action by inspecting only the necessary portions of network packets (metadata, headers, footers) required for system classification, rather than performing excessive full packet inspection. This approach provides sufficient information for accurate identification without the complete processing burden.
2Measurement precision
If deep packet inspection is performed to classify network systems, then classification accuracy improves, but computational resources and processing power increase
Solution Approach 1:
The system extracts only the critical metadata elements (headers and footers) containing system identification information, eliminating the need to process entire packet contents. This reduces computational resource requirements while maintaining sufficient accuracy for network system classification.
Solution Approach 2:
The patent implements partial inspection by analyzing only the necessary metadata portions of packets rather than performing complete deep packet inspection. This provides adequate classification accuracy with significantly reduced computational power requirements.
3Loss of information
If comprehensive network traffic analysis is performed to identify all devices, then network visibility improves, but processing complexity and resource consumption increase
Solution Approach 1:
The patent extracts specific metadata fields from network traffic that contain essential system identification information, achieving effective network visibility without the complexity of analyzing all packet contents. This selective approach maintains comprehensive device identification capability while reducing processing complexity.
4Productivity
If metadata-based identification is used instead of deep packet inspection, then processing speed improves, but measurement precision may deteriorate
Solution Approach 1:
The patent extracts the specific metadata fields (headers and footers) that contain system identification information, achieving both fast processing and accurate identification. This selective extraction methodology maintains measurement precision by focusing on the most informative packet portions while enabling rapid processing.
Solution Approach 2:
The patent applies partial inspection of packet metadata rather than complete deep packet inspection, achieving sufficient identification accuracy with dramatically improved processing speed. The partial action focuses on the most critical packet portions for system classification.
Data Source
AI summary
Systems, methods, and related technologies for generating a network system map based on network traffic and possibly additional data are described. Network traffic may be received and parsed to obtain metadata associated with the network traffic. A network system may be identified based on the metadata. A network system map may be generated for the network system based on one or more of the metadata or the additional data.