TELEMETRY DATA BASED COUNTERFEIT DEVICE DETECTION

Organization Name

cisco technology, inc.

Inventor(s)

Shi-Jie Wen of Sunnyvale CA (US)

Dao-I Tony Lin of Pleasanton CA (US)

Ranjani Ram of Chapel Hill NC (US)

Li Sun of Austin TX (US)

James Edwin Turman of Round Rock TX (US)

Anthony Winston of Akron OH (US)

Jie Xue of Dublin CA (US)

TELEMETRY DATA BASED COUNTERFEIT DEVICE DETECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240320691 titled 'TELEMETRY DATA BASED COUNTERFEIT DEVICE DETECTION

Simplified Explanation: The patent application describes techniques for detecting counterfeit products by comparing hardware components and orientations of counterfeit and authentic products using telemetry data.

Counterfeit products are identified by analyzing differences in hardware components and orientations compared to authentic products.
Hardware intrinsic development data is generated based on telemetry data to create representative models using machine learning.
Representative models include sample models based on valid telemetry data of authentic devices and test models based on unvalidated telemetry data of test devices.
Comparisons between representative models are used to identify counterfeit products.

Key Features and Innovation: - Detection of counterfeit products through analysis of hardware components and orientations. - Use of telemetry data to generate hardware intrinsic development data. - Machine learning models used to create representative models for comparison. - Sample representative models based on valid telemetry data. - Test representative models based on unvalidated telemetry data.

Potential Applications: This technology can be applied in various industries such as electronics, automotive, and consumer goods to combat counterfeit products.

Problems Solved: - Counterfeit product detection. - Differentiation between authentic and counterfeit products. - Protection of brand reputation and consumer safety.

Benefits: - Enhanced product authentication. - Reduction in counterfeit product circulation. - Improved consumer trust and confidence in products.

Commercial Applications: Potential commercial applications include anti-counterfeiting solutions for manufacturers, retailers, and online marketplaces to ensure product authenticity and brand integrity.

Questions about Counterfeit Product Detection: 1. How does this technology impact the fight against counterfeit products in the market? 2. What are the potential challenges in implementing this technology in different industries?

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Original Abstract Submitted

techniques are described for detecting counterfeit products by identifying differences between hardware components and orientations of the counterfeit products, and hardware components and orientations of authentic products. in some examples, the hardware components and orientations can be identified by generating hardware intrinsic development data based on telemetry data of products (or “devices”). by way of example, the telemetry data may be analyzed by machine learning (ml) models to generate representative models of the hardware intrinsic development data. in various examples, the representative models can include sample representative models of hardware intrinsic development data generated based on valid telemetry data of authentic devices. in those or other examples, the representative models can include other representative models (or “test representative models”) of hardware intrinsic development data generated based on unvalidated telemetry data of test devices. comparisons between the representative models can be utilized to identify the counterfeit products.