Wavelet Transform SVM Bus Authentication
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Solution Overview
Problem
Communication buses in aircraft, satellites, and other systems lack device authentication, making them susceptible to faults, malware, and malicious activities, which can compromise the entire system by transmitting defective signals.
Innovation Solution
A bus monitoring system that includes a data processing and analysis module to analyze bus traffic, using support vector machines and wavelet transforms to identify anomalies and authenticate message sources, taking action when discrepancies are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If device authentication is implemented on communication buses, then system security and reliability are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary authentication by analyzing waveform characteristics of messages before they are processed further in the communication bus. Support vector machines are pre-trained to recognize legitimate device waveforms, enabling early detection of unauthorized devices and preventing malicious communications from propagating through the system.
Solution Approach 2:
The patent replaces traditional mechanical or protocol-based authentication mechanisms with signal processing and machine learning approaches. By using wavelet transforms to extract waveform features and support vector machines for classification, the system substitutes complex cryptographic authentication with more efficient signal-based identification that maintains security while reducing processing overhead.
2Measurement precision
If waveform analysis is performed on bus traffic, then authentication accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The system applies wavelet transforms selectively to extract only the most relevant waveform features for authentication, rather than analyzing entire message contents. This partial action approach focuses computational resources on critical authentication parameters, achieving high accuracy while minimizing processing time and computational load on the communication bus.
Data Source
AI summary
A method that includes operating a bus monitoring system having at least one interface configured to be coupled to at least one communication bus and receive bus traffic transmitted over the communication bus(es). The method also includes, using a device authentication system of the bus monitoring system, analyzing the bus traffic received via the at least one interface. Analyzing the bus traffic includes obtaining a message in the bus traffic (where the message identifies a source), identifying a support vector machine that corresponds to the source of the message, applying a wave transform to a waveform of the received message in order to generate a transformed waveform, inputting the transformed waveform to the identified support vector machine, and taking action in response to the identified support vector machine determining that the transformed waveform or the associated information does not correspond to the source.


