Electronic component classification
AssigneeBattelle Memorial Institute
InventorsLarry J. House, Dale C. Engelhart
Life of this patent
Estimating the term…
Abstract
A system and method of electronic component authentication or component classification can reduce the vulnerability of systems (e.g., satellites, weapons, critical infrastructure, aerospace, automotive, medical systems) to counterfeits. Intrinsic deterministically random property data can be obtained from a set of authentic electronic components, processed, and clustered to create a classifier that can distinguish whether an unknown electronic component is authentic or counterfeit.
Claims20
A method of classifying an unknown electronic component comprising:
- measuring with a sensor system, a noise signal for each of a plurality of electronic components;
- building a classifier for a classification system based on the noise signals of the plurality of electronic components by segmenting each noise signal into a noise vector, transforming each noise vector into a feature vector, conducting a statistical analysis on each feature vector, and clustering the feature vectors to create the classifier;
- measuring, with the sensor system a noise signal of the unknown electronic component;
- classifying the unknown electronic component using the classifier and the noise signal of the unknown electronic component;
- and
- wherein the classification system classifies the unknown electronic component according to functionality and performance characteristics.
A method of classifying a plurality of unknown electronic components comprising:
- measuring with a sensor system, a noise signal for each of the plurality of electronic components;
- building a classifier for a classification system based on the noise signals of the plurality of electronic components by segmenting each noise signal into a noise vector, transforming each noise vector into a feature vector, conducting a statistical analysis on each feature vector, and clustering the feature vectors to create the classifier;
- measuring with a sensor system, a noise signal for each of the plurality of unknown electronic components;
- classifying the plurality of unknown electronic components based on the measured noise signals with the classifier;
- and
- wherein the classification system differentiates the plurality of unknown electronic components between electronic components that have shared functionality but different performance characteristics.
A method of classifying an unknown electronic component comprising:
- measuring, with a sensor system, a noise signal for each of a plurality of known electronic components;
- building a classifier for a classification system based on the noise signals of the plurality of known electronic components by segmenting each noise signal into a noise vector, transforming each noise vector into a feature vector, conducting a statistical analysis on each feature vector, and clustering the feature vectors to create the classifier, wherein the classifier differentiates between electronic components that share functionality but have different performance characteristics;
- measuring, with the sensor system, a noise signal of the unknown electronic component;
- and
- classifying the unknown electronic component using the classification system and the noise signal of the unknown electronic component.
Dependencies are inferred from the claim text.