Transmission Feature Reconstruction for IoT Terminal Verification
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Solution Overview
Problem
Current terminal verification methods for IoT devices are inaccurate due to the ease with which IP addresses can be spoofed, leading to unsuccessful detection of spoofing terminals.
Innovation Solution
Reconstruct transmission features of IoT terminals using dimension reduction and increase encoding to identify abnormal terminals by comparing reconstructed features with target differences, improving verification accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If IP address verification is used to identify terminals, then the verification process is simple and fast, but the verification accuracy is low because IP addresses can be easily spoofed
Solution Approach 1:
The patent segments the terminal identification process into multiple independent verification dimensions: IP address verification, transmission feature verification, and behavior pattern verification. By dividing the verification process into separate modules, the system can evaluate terminals comprehensively without relying solely on IP addresses, thus improving accuracy while maintaining efficiency through parallel processing of different verification aspects.
Solution Approach 2:
The patent introduces transmission features as an intermediary verification mechanism between the terminal and the network device. These transmission features (packet size, transmission interval, protocol usage) serve as indirect indicators of terminal authenticity, allowing the system to verify terminals through their communication behavior patterns rather than directly trusting IP addresses, thereby resolving the contradiction between simple verification and accurate identification.
2Measurement precision
If transmission feature reconstruction is performed using dimension reduction and increase encoding, then verification accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent transforms transmission feature verification into a parameter-based mathematical problem by applying dimension reduction encoding to convert high-dimensional transmission feature data into lower-dimensional representations, followed by dimension increase decoding to reconstruct the features. This parameter transformation approach enables accurate verification through mathematical operations rather than complex pattern matching, improving accuracy while managing computational complexity through efficient linear algebra operations.
Solution Approach 2:
The patent creates reconstructed copies of transmission features through the dimension reduction and increase encoding process. Instead of directly analyzing complex original transmission data, the system generates simplified mathematical representations (copies) that preserve the essential verification characteristics. These reconstructed feature copies enable accurate terminal identification with reduced computational burden, as the mathematical models can be pre-computed and stored for rapid comparison.
Data Source
AI summary
A method, an apparatus, a system, a device, and a storage medium for implementing terminal verification are provided. In this method, a transmission feature of a terminal is reconstructed to verify the terminal. For example, if a difference between the transmission feature obtained through reconstruction and the transmission feature of the terminal is relatively large, it indicates that the transmission feature of the terminal is abnormal, and the terminal is an abnormal terminal. In this case, it is determined that the verification of the terminal fails.