Signal Evaluation Device for Bus Sender Identification
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Solution Overview
Problem
Existing methods for evaluating signals in bus systems lack effective means to identify senders and detect anomalies, particularly in scenarios where signals deviate from standard bit sequences and during arbitration phases.
Innovation Solution
A computer-implemented method that characterizes bit sequences by measuring time periods between signal edges, using variables like rising and falling edge intervals, and employing statistical models to derive sender-specific fingerprints, which can be used to identify senders and detect intrusions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If signal evaluation is performed during arbitration phases, then complete sender identification is possible, but detection precision deteriorates due to signal deviations from standard bit sequences
Solution Approach 1:
The patent performs signal evaluation during non-arbitration phases when signals conform to standard bit sequences, establishing baseline sender characteristics in advance. This preliminary characterization enables subsequent identification during arbitration phases without requiring real-time deviation analysis, thus resolving the contradiction between complete identification and detection precision.
2Measurement precision
If sender identification is based on standard bit sequences only, then measurement precision is maintained, but adaptability deteriorates due to inability to handle deviating signals
Solution Approach 1:
The system pre-characterizes senders using standard bit sequences during non-arbitration phases, storing these baseline measurements. When deviating signals occur during arbitration, the system compares against pre-stored characteristics rather than requiring real-time standard sequence validation, thus maintaining precision while adapting to non-standard signals.
Solution Approach 2:
The patent changes the evaluation parameter from requiring strict standard sequence conformity to comparing against stored baseline characteristics. This parameter transformation allows the system to handle variable signal formats (standard and deviating) while maintaining measurement accuracy through consistent comparison methodology.
Data Source
AI summary
A method for evaluating a signal that is, for example, transferred and/or receivable via a bus system. The method includes: ascertaining a first variable that characterizes a length of a bit sequence associated with the signal, for example, the bit sequence including n bits, where n is greater than or equal to one, and optionally ascertaining a second variable that characterizes a deviation of the length of the bit sequence from a reference bit sequence that includes n bits.