Encrypted Human Verification Channel Against AI Spoofing
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Solution Overview
Problem
Existing methods struggle to verify human interaction over networks, particularly distinguishing between humans and AI bots, as AI can spoof video calls and in-person visits are impractical.
Innovation Solution
A human verification system creates encrypted channels for communication, using verifiably human actions like biometric sensors, arithmetic questions, and physical tasks to authenticate users, employing AI/ML algorithms for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video calls or in-person visits are used for verification, then human interaction can be observed, but AI spoofing through deepfakes makes verification unreliable
Solution Approach 1:
The patent introduces an encrypted channel as an intermediary medium between the user and the verification system. This channel transports verification data without exposing it to potential spoofing attacks, allowing reliable verification while protecting against AI deepfake interference through cryptographic security
Solution Approach 2:
The system changes the verification parameter from visual observation (which can be faked) to encrypted data transmission and analysis. By transforming the verification process into analyzing patterns within encrypted channels, the system maintains reliability while becoming immune to visual spoofing attacks
2Reliability
If in-person visits are used for verification, then human presence can be confirmed, but the method is impractical for network communication
Solution Approach 1:
The patent replaces the mechanical requirement of physical presence with a digital system that analyzes encrypted data streams. Instead of requiring users to physically visit locations, the system substitutes this with automated analysis of human interaction patterns transmitted through encrypted channels over the network
Solution Approach 2:
The encrypted channel serves as an intermediary that enables remote verification without requiring physical presence. It transports verification-relevant data between distant parties, making the verification process as reliable as in-person meetings while being as convenient as network communication
3Measurement precision
If traditional authentication methods are used, then user identity can be authenticated, but they cannot distinguish between human users and AI bots
Solution Approach 1:
The patent segments the verification process into two distinct layers: traditional authentication (verifying user identity) and human verification (distinguishing human from AI). By separating these functions and applying encrypted channel analysis specifically to human verification, the system achieves both accurate authentication and reliable human-AI distinction
Solution Approach 2:
The system changes the verification parameter from static credentials (which both humans and AI can possess) to dynamic interaction patterns transmitted through encrypted channels. By analyzing these encrypted data streams for human-specific patterns, the system maintains authentication accuracy while adding the capability to distinguish human users from AI bots
Data Source
AI summary
Apparatus and methods to verify human interaction through an encrypted channel are provided. A human verification program may create an encrypted channel between two or more devices when a communication between users of the devices is started. Data may be transferred over the encrypted channel when a user performs a verifiably human action. The data may be analyzed to determine whether the user is more likely than not a bot. The channel may be collapsed when a pre-determined condition is satisfied.