Biometric Trusted ID Verification for Deepfake-Resistant Calls
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Solution Overview
Problem
Existing cybersecurity measures are inadequate in preventing deepfake attacks, as spam call filters and non-contact call blocking systems fail to identify spoofed numbers, and users are often unable to rapidly verify the identity of callers during communication sessions.
Innovation Solution
A trusted ID verification system that utilizes biometric data and government-issued ID associations to verify the identity of users during communication sessions, by challenging the second device to transmit biometric data to a server for comparison with stored trusted ID data, thereby reducing the need for additional questioning and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional spam call filters and non-contact call blocking systems are used, then basic call filtering is provided, but they fail to identify spoofed numbers and deepfake attacks
Solution Approach 1:
The system performs preliminary biometric verification before allowing communication. The server compares biometric data from the caller with stored trusted ID data in advance, establishing identity verification before the actual communication session begins, thus preventing deepfake attacks before they can succeed.
Solution Approach 2:
The system introduces a server as an intermediary between the calling device and the communication system. This server acts as a mediator that verifies biometric data and trusted ID associations, enabling reliable identity verification without requiring direct trust between communicating parties.
2Reliability
If users manually verify caller identity during communication sessions, then some verification occurs, but it requires additional questioning and consumes network resources
Solution Approach 1:
The system performs biometric verification in advance before the communication session starts. By pre-verifying the caller's identity through biometric data comparison with trusted ID data, the system eliminates the need for manual verification questions during the actual communication, thus saving time and network resources.
Solution Approach 2:
The system enables automatic self-verification of caller identity through biometric data comparison. The verification process occurs automatically in the background without requiring user intervention or additional questioning, allowing the communication to proceed efficiently once verification is complete.
Data Source
AI summary
The present disclosure provides techniques for biometric and trusted ID verification. A method includes transmitting, by a first device during a communication session between the first device and a second device, a challenge to an identity of a user of the second device to at least one of a server or the second device. The method includes receiving, at the first device and based on the challenge during the communication session, a response from the server indicating a verification status of the identity of the user, where the response is based on associations of trusted IDs and biometric IDs maintained by the server, and where the response is further based on biometric data of the user. The method includes presenting, at the first device during the communication session, an indication of the response.