Context-Aware Authentication Using Indoor RTLS
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Solution Overview
Problem
Conventional challenge-response authentication methods, including CAPTCHAs, are vulnerable to sophisticated AI applications that can mimic user inputs or device signals, compromising security in applications like building and network access.
Innovation Solution
Implementing location-based, context-aware challenge-response authentication using an indoor Real-Time Location System (RTLS) that provides dynamic challenges based on a user's current or historical location patterns, making it impossible for AI applications to provide valid responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional challenge-response authentication methods (including CAPTCHAs) are used, then authentication can be performed, but security is compromised because sophisticated AI applications can mimic user inputs or device signals
Solution Approach 1:
The patent changes the parameter space of authentication challenges by incorporating location-based context (indoor position, historical location patterns) rather than relying solely on static CAPTCHA challenges. This dynamic parameter change makes it difficult for AI applications to predict or mimic valid responses, as the challenge space continuously evolves based on user context.
Solution Approach 2:
The patent adds a new dimension to authentication by incorporating spatial-temporal context (location data, movement patterns, historical positions) alongside traditional challenge-response mechanisms. This multi-dimensional approach creates a more robust authentication system that AI applications cannot easily replicate through simple input mimicry.
2Reliability
If location-based context-aware challenges are implemented, then security against AI applications is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent leverages the existing RTLS infrastructure that is already deployed for other purposes (building access control, asset tracking, etc.) and repurposes it for authentication challenges. This multi-functional use of existing location data minimizes additional device complexity while enhancing security.
Solution Approach 2:
The system uses the user's own location data and movement patterns (which are naturally generated as part of normal building operations) to create authentication challenges. The user's natural behavior in the physical space serves the dual purpose of both navigation and authentication, eliminating the need for separate authentication hardware.
3Reliability
If dynamic location-based challenges are used, then authentication becomes more secure, but response time and user interaction complexity increase
Solution Approach 1:
The system pre-collects location data and historical movement patterns as users naturally move through the building for other purposes. This preliminary data collection occurs in the background without requiring dedicated authentication time, so when authentication is needed, the challenge can be generated quickly using already-available context information.
Solution Approach 2:
The authentication challenges dynamically adapt to the user's current context and historical behavior patterns, creating challenges that are secure yet naturally aligned with user behavior. This dynamic approach allows the system to differentiate between genuine users (whose behavior matches historical patterns) and AI applications (which cannot replicate contextual behavior), maintaining speed while enhancing security.
Data Source
AI summary
Location-based, context-aware challenge-response authentication may be provided. First, a challenge may be provided to a user. The challenge may be based on a context corresponding to the user. The context corresponding to the user may comprise a location of a device associated with the user within an environment. Next, in response to providing the challenge, a response to the challenge may be received from the user. Then, in response to receiving the response to the challenge, it may be determined that the response is a correct answer to the challenge. In response to determining the response is the correct answer, a privilege may be provided to the user.