Anonymizing Biometric Data for Security Systems

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Solution Overview

Problem

Biometric data, once stolen, cannot be easily changed, leading to identity theft issues and privacy concerns, which complicates its use in security systems, especially with stringent laws regulating personally identifiable information (PII).

Innovation Solution

A method to create a weakened biometric representation of an individual's biometric signal that can identify multiple individuals, allowing for anonymization and efficient matching within a security system, reducing the risk of identity theft and compliance with privacy laws.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If detailed biometric data is stored for accurate identification, then identification accuracy is improved, but privacy protection and security against identity theft deteriorate

Engineering Contradiction:
Improveidentification accuracyVSAvoidprivacy risk and identity theft
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent extracts only the essential identification features from detailed biometric data to create templates that retain sufficient information for accurate matching while removing personally identifiable information. This extraction process allows the system to maintain identification accuracy while reducing privacy risks by storing only the minimum necessary data.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates anonymized copies of biometric data in the form of templates that can be stored and processed without containing the original detailed biometric information. These templates serve as functional equivalents for identification purposes while being inherently more secure and privacy-preserving than storing original biometric data.

Inventive Principle:
Principle #26Copying

2Object-affected harmful factors

If anonymized biometric templates are used to protect privacy, then privacy protection is improved, but matching accuracy and false positive rates worsen

Engineering Contradiction:
Improveprivacy protectionVSAvoidmatching accuracy
Core Design Contradiction:
Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The patent transforms biometric data by changing its parameters and representation format to create templates with different mathematical properties. This transformation maintains the essential identification characteristics while altering the data structure to provide privacy protection, achieving both goals simultaneously through parameter transformation.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If complete biometric data is stored, then authentication reliability is improved, but storage requirements and processing complexity worsen

Engineering Contradiction:
Improveauthentication reliabilityVSAvoidstorage requirements
Core Design Contradiction:
ReliabilityVSVolume of stationary object

Solution Approach 1:

The patent extracts only the essential identification features from complete biometric data to create compact templates. This extraction reduces storage requirements significantly while maintaining authentication reliability by preserving the critical features necessary for accurate matching and identification.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments biometric data into essential identification features and non-essential information, storing only the essential features in template form. This segmentation allows the system to maintain authentication reliability while reducing storage requirements by eliminating redundant and non-critical data elements.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11336643B2Anonymizing biometric data for use in a security system
Publication Date: 2022.05.17 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US11336643B2 patent drawing
  • US11336643B2 patent drawing
  • US11336643B2 patent drawing

AI summary

An anonymized biometric representation of a target individual is used in a computer based security system. A detailed input biometric signal associated with a target individual is obtained. A weakened biometric representation of the detailed biometric signal is constructed such that the weakened biometric representation is designed to identify a plurality of individuals including the target individual. The target individual is enrolled in a data store associated with the computer based security system wherein the weakened biometric representation is included in a record for the target individual. In another aspect of the invention, a detailed input biometric signal from a screening candidate individual is obtained. The detailed biometric signal of the screening candidate is matched against the weakened biometric representation included in the record for the target individual.