Sensor Noise Fingerprinting for Protocol-Agnostic Replay Detection
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Solution Overview
Problem
Existing technologies struggle to detect replay attacks across various communication protocols, particularly in wired and system-specific communication, limiting their effectiveness.
Innovation Solution
A detection system that integrates a first noise value with sensor observations and uses spatial distance analysis between noise values to identify replay attacks, independent of communication protocols, without relying on Dirty Paper Coding (DPC).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Dirty Paper Coding (DPC) is used to detect replay attacks, then detection capability is improved for wireless communication, but applicability deteriorates because it is limited to specific wireless communication protocols only
Solution Approach 1:
The patent creates a universal replay attack detection method that works across multiple communication protocols (wireless, wired, and system-specific protocols). Instead of being limited to DPC for wireless communication only, the invention implements a protocol-agnostic detection mechanism using noise value analysis that can be applied to any communication type, thereby achieving multi-functionality and broad applicability.
2Measurement precision
If protocol-specific detection methods are used, then detection accuracy is improved for that protocol, but device complexity increases due to needing multiple detection mechanisms for different protocols
Solution Approach 1:
The patent applies homogeneity by using a unified detection mechanism for all communication protocols. The core detection method remains consistent across wireless, wired, and system-specific protocols, utilizing noise value generation, integration, and spatial distance calculation in the same way regardless of the communication type, thereby reducing device complexity while maintaining detection accuracy.
Solution Approach 2:
The patent segments the detection process into distinct functional modules: noise value generation, noise value integration with observation values, and spatial distance calculation for detection. This modular segmentation allows the same detection logic to be applied uniformly across different protocols without increasing overall system complexity, as each module operates independently and protocol-agnostically.
3Measurement precision
If noise values below sensor resolution are integrated with observation values, then replay attack detection accuracy is improved, but information loss increases due to adding noise to the signal
Solution Approach 1:
The patent converts the harmful effect of noise into a beneficial detection mechanism. By intentionally adding known noise values below sensor resolution to the observation values, the system creates a unique fingerprint that can be used to detect replay attacks. The noise, which traditionally degrades signal quality, becomes the basis for authentication and detection accuracy.
Solution Approach 2:
The patent implements feedback by generating noise values at the transmitting device, integrating them with observation values, transmitting the combined signal, and then regenerating identical noise values at the receiving device for comparison. This feedback loop ensures that the noise addition does not result in information loss, as the original noise values are recovered and used for verification, maintaining signal integrity while enabling detection.
Data Source
AI summary
A detection system 1 includes a control device 10 and a monitoring device 20 communicably connected to the control device 10. An acquisition unit 10A of the control device 10 acquires a target's observation value by a sensor 30. A first-noise-output unit 10B outputs a first-noise-value changing with time and less than a resolution of the sensor 30. An integration unit 10C outputs an integrated value obtained by integrating the first-noise-value and the observation value. A transmission unit 10D transmits the integrated value to the monitoring device 20. A separation unit 20A of the monitoring device 20 separates the integrated value from the control device 10 into the observation value and the first-noise-value. A second-noise-output unit 20B outputs a second-noise-value as the first-noise-value. A detection unit 20C detects whether the integrated value is a replay attack using the spatial distance between the first-noise-value and the second-noise-value.


