Biometric ID Verification for Deepfake-Resistant Call Authentication
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Solution Overview
Problem
Existing methods for preventing deepfake attacks, such as spam call filters and non-contact call blocking, are ineffective against deepfake technology that uses registered cell numbers with fake IDs, and require resource-intensive user verification processes.
Innovation Solution
A trusted ID verification system that utilizes biometric data verification through a server maintaining associations between biometric IDs and government-issued IDs, enabling rapid verification during communication sessions by challenging the user to provide biometric data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional spam call filters and non-contact call blocking are used, then basic call filtering is provided, but they are ineffective against deepfake attacks using registered cell numbers with fake IDs
Solution Approach 1:
The system performs preliminary biometric verification and establishes trusted ID associations before communication sessions occur. During setup, biometric data is captured and linked to government-issued IDs, creating a pre-validated trust framework that automatically applies during calls without adding complex real-time verification steps
Solution Approach 2:
A server acts as an intermediary between users, maintaining the trusted ID database and performing verification operations. The server receives biometric data during communication sessions, compares it against stored associations, and provides verification results without requiring complex local verification infrastructure on user devices
2Reliability
If user verification processes are enhanced to detect deepfakes, then security against deepfake attacks improves, but resource-intensive verification procedures are required
Solution Approach 1:
Biometric verification and trusted ID associations are established in advance during setup phases. The system pre-processes and stores verified biometric data linked to government-issued IDs, so that during actual communication sessions, only lightweight comparison operations are needed rather than full verification procedures
Solution Approach 2:
The system uses the user's own biometric data, which is inherently difficult to spoof, as the verification mechanism. The biometric characteristics serve as self-identifying proof of identity, eliminating the need for external verification infrastructure or resource-intensive analysis during communication sessions
3Reliability
If biometric verification is implemented during communication sessions, then deepfake attacks are prevented, but additional network and computing resources are consumed
Solution Approach 1:
The trusted ID database and biometric associations are established before communication sessions occur. During calls, the system only needs to retrieve pre-stored associations and perform simple biometric matching against them, rather than conducting full verification procedures, significantly reducing network and computing resource consumption during active communication
Solution Approach 2:
The system rapidly performs biometric verification during communication sessions by leveraging pre-established trusted associations. The verification process is streamlined to quickly compare incoming biometric data against stored references and immediately provide results, minimizing the time and resources consumed during the verification process
Data Source
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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.