UWB HRP STS Correlation for Distance Reduction Attack Detection

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Solution Overview

Problem

Existing UWB HRP mode is vulnerable to distance reduction attacks due to the deterministic nature of its physical layer structure, lacking effective security techniques to detect and mitigate such attacks.

Innovation Solution

A method and device for detecting distance reduction attacks in UWB HRP mode by splitting the scrambled timestamp sequence (STS) field into sub-fields, computing correlations with sub-templates, and extracting maximum peaks to identify and verify the integrity of the STS field, using a device comprising a receiver or transmitter with a peak extractor and microcontroller unit.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If UWB HRP mode uses deterministic physical layer structure for efficient communication, then communication efficiency is improved, but vulnerability to distance reduction attacks increases

Engineering Contradiction:
Improvecommunication efficiencyVSAvoidsecurity against distance reduction attacks
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The STS field is divided into multiple sub-fields (first STS sub-field, second STS sub-field, etc.), and the local template is divided into corresponding sub-templates. Correlation computation is performed separately for each sub-field against its corresponding sub-template, and the results are combined to determine authenticity. This segmentation allows the system to maintain the deterministic HRP structure while enabling detection of manipulated signals through distributed verification.

Inventive Principle:
Principle #1Segmentation

2Use of energy by moving object

If UWB HRP mode uses more pulses with low power, then power consumption is reduced, but detection of distance reduction attacks becomes more difficult

Engineering Contradiction:
Improvepower consumptionVSAvoiddifficulty of detecting distance reduction attacks
Core Design Contradiction:
Use of energy by moving objectVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs correlation computation between received STS sub-fields and local sub-templates to generate correlation results. Maximum peak values are extracted from these correlation results, and the relationship between the maximum peaks and sub-template values is analyzed to determine whether distance reduction attack is present. This feedback mechanism enables detection of attacks while maintaining low power consumption through efficient correlation-based verification.

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Effectively detects and mitigates distance reduction attacks in UWB HRP mode, ensuring accurate distance measurements by validating the STS field integrity and preventing manipulation.

Implementation Method 1

computing a correlation between each of the sub-fields and a corresponding sub-template among a plurality of sub-templates split from a local template

Methodology Applied
Scientific EffectCorrelation:

Data Source

PatentUS12601810B2Device and method of detecting for HRP UWB ranging against distance reduction attacks
Publication Date: 2026.04.14 KOREA UNIV RES & BUSINESS FOUND
  • US12601810B2 patent drawing
  • US12601810B2 patent drawing
  • US12601810B2 patent drawing

AI summary

Disclosed are a device and method for detecting distance reduction attack in an ultra-wide band (UWB) high rate pulse (HRP) mode. The method for detecting distance reduction attack is a method performed by a receiver or transmitter operating in the UWB HRP mode, the method comprising receiving a message frame targeted for distance reduction attack; splitting a scrambled timestamp sequence (STS) field included in the message frame into a plurality of sub-fields; computing a correlation between each of the sub-fields and a corresponding sub-template among a plurality of sub-templates split from a local template; extracting a plurality of maximum peaks, each corresponding to each of the correlations; and detecting the distance reduction attack based on extracted maximum peaks.