Environmental Object Authentication for Deep Fake Prevention
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Solution Overview
Problem
Current authentication methods for accessing secured resources are often cumbersome and insecure, requiring users to carry multiple identification credentials and being vulnerable to deep fake attacks, especially on computing devices that are easily compromised.
Innovation Solution
A method and system that uses real-world object-based authentication, where image data of environmental objects is captured and matched against stored records to verify user identity, eliminating the need for traditional credentials and enhancing security by leveraging existing image sensors and teleconferencing infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (ID cards, passwords, biometrics) are used, then user identity can be verified, but the system becomes vulnerable to deep fake attacks and requires users to carry multiple credentials
Solution Approach 1:
The patent introduces real-world environmental objects as an intermediary authentication factor. Instead of directly verifying user-provided credentials, the system captures images of environmental objects in the user's vicinity and matches them against pre-stored reference images. This intermediary approach prevents deep fake attacks because environmental objects cannot be easily synthesized or forged, and the system verifies identity through the spatial relationship between the user and their surrounding environment.
Solution Approach 2:
The patent replaces traditional mechanical authentication systems (physical ID cards, fingerprint scanners, facial recognition) with an optical-based environmental object recognition system. Using existing image sensors and teleconferencing infrastructure, the system captures and analyzes images of environmental objects, substituting complex biometric verification with simpler image matching technology that is inherently more resistant to deep fake manipulation.
2Reliability
If multiple identification credentials are required for authentication, then security is improved, but user convenience and operational ease deteriorate
Solution Approach 1:
The patent implements passive authentication where the system automatically captures images of environmental objects using the user's existing device camera without requiring active user participation. Users simply need to position themselves in their normal environment, and the system autonomously verifies their identity by matching environmental objects against stored references, eliminating the need for users to actively present multiple credentials or remember passwords.
Solution Approach 2:
The patent leverages existing multi-functional devices (smartphones, laptops, teleconferencing systems) that users already possess for communication purposes. These devices' existing image sensors and cameras are repurposed for authentication, eliminating the need for dedicated security hardware. The same device used for video conferencing also performs environmental object capture and authentication, reducing the burden on users to carry separate authentication tools.
3Reliability
If dedicated authentication hardware is deployed, then authentication reliability is improved, but system cost and device complexity increase
Solution Approach 1:
The patent uses existing image sensors and cameras to capture environmental objects, creating digital image copies that are processed for authentication. Instead of requiring specialized hardware, the system replicates the authentication functionality using standard imaging components already present in users' devices. The environmental objects themselves serve as the authentication tokens, eliminating the need for physical security hardware.
Solution Approach 2:
The patent transforms existing communication infrastructure into authentication infrastructure. Standard image sensors, webcams, and teleconferencing systems designed for video communication are repurposed to capture and verify environmental objects. This multi-functional approach allows the same hardware to serve both communication and authentication purposes, dramatically reducing the need for dedicated authentication hardware and system complexity.
Data Source
AI summary
A real-world object-based method and system of performing an authentication of a person in order to permit access to a secured resource is disclosed. The system and method are configured to collect image data from an end-user in real-time that includes objects in their environment. At least one object is selected and its image data stored for subsequent authentication sessions, when the system can determine whether there is a match between the new image data and image data previously collected and stored in a database. If there is a match, the system verifies an identity of the person and can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.