Caller Authentication Through Paused Sensitive Information Requests
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Solution Overview
Problem
Current communication systems lack effective methods to authenticate the legitimacy of callers, especially in the face of deep-fake videos and scam calls, making it difficult to distinguish between real individuals and computer-generated replicas, and there is a lack of warning mechanisms for potential scams.
Innovation Solution
Implementing a security escalation process that pauses communications upon detecting a request for sensitive information, verifies the caller's identity using biometrics and trusted devices, and resumes the communication only after authentication, with the use of signed tokens and blockchain-based payments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If communication is paused and authentication is required before sharing sensitive information, then security against scams and deep-fake attacks is improved, but communication efficiency and user convenience deteriorate
Solution Approach 1:
The system performs authentication checks and security verifications before the communication reaches a state where sensitive information could be compromised. By pausing the communication flow at critical points and requiring verification tokens or biometric authentication in advance, the system ensures security measures are already in place before sensitive data exchange occurs, thus maintaining both security and efficiency.
Solution Approach 2:
The patent introduces intermediary authentication mechanisms including verification tokens, biometric verification systems, and deep-fake detection layers that mediate between the caller and the recipient. These intermediaries validate the authenticity of the communication party without requiring the main communication flow to be completely interrupted, thereby maintaining efficiency while enhancing security.
2Measurement precision
If deep-fake detection and biometric verification are implemented, then ability to distinguish real individuals from computer-generated replicas is improved, but system complexity and processing time worsen
Solution Approach 1:
The authentication system is divided into multiple independent modules including deep-fake detection algorithms, biometric verification components, and token validation systems. Each module handles a specific aspect of verification, allowing the system to achieve high measurement precision through specialized processing while managing complexity through modular architecture that can be selectively activated based on communication risk levels.
3Reliability
If communication is blocked until authentication is complete, then protection against accidental information sharing is improved, but loss of communication time worsens
Solution Approach 1:
The system implements periodic authentication checks at key moments in the communication flow rather than requiring continuous verification. Authentication is triggered periodically when sensitive information exchange is detected or at predetermined intervals, allowing normal communication to proceed uninterrupted while maintaining security at critical points, thus reducing overall time loss while preserving information security.
Data Source
AI summary
Methods and systems are described for authenticating one or more parties to a communication. An example method may comprise pausing or otherwise interrupting a call based on determining the call includes a request for sensitive information from a party to the call. An identity of the party to the call may be verified and the call may be resumed based on the verification of the identity of the party to the call.