Predictive Access Control Using Mobile Device Behavior Analytics
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Solution Overview
Problem
Conventional access control systems rely on single or dual factors of authentication, such as key cards or passcodes, which are prone to loss, theft, and lack accurate tracking of unregistered persons and their behavior patterns, failing to provide analytics for commercial or security interests, and do not offer frictionless authentication or situational awareness.
Innovation Solution
A physical access control system that uses sensors to collect credentials, images, and attributes from mobile devices, predicting normal traffic patterns and triggering elevated security measures when deviations occur, including additional authentication steps or alerts, to monitor and manage both known and unknown individuals within a spatial volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional access control systems use key cards or passcodes for authentication, then access control functionality is provided, but the systems are prone to loss, theft, and cannot accurately track unregistered persons and their behavior patterns
Solution Approach 1:
The system uses mobile devices that serve multiple functions: they act as authentication credentials (replacing key cards), provide continuous location tracking, capture behavioral patterns, and enable communication with the access control system. This multi-functional approach eliminates the need for separate tracking infrastructure while maintaining authentication reliability.
Solution Approach 2:
The patent replaces physical key cards and manual tracking methods with electronic/mobile-based authentication and automated digital tracking. Mobile devices with GPS, sensors, and communication capabilities substitute for mechanical access control systems, enabling both reliable authentication and continuous behavioral tracking without physical media.
2Reliability
If conventional systems use shared secrets or cryptographic keys for authentication, then access control is provided, but the secrets can be stolen or lost and require secure delivery and retention
Solution Approach 1:
The system leverages the mobile device's inherent capabilities (sensors, GPS, communication modules) to perform authentication and tracking functions autonomously. The mobile device itself serves as the security credential, eliminating the need for separate key distribution and management infrastructure. Users naturally possess and retain their mobile devices, making credential management effortless.
Solution Approach 2:
The mobile device performs multiple security functions including authentication, location tracking, behavioral analysis, and communication, replacing the need for separate cryptographic key management systems. This consolidation simplifies credential management while maintaining or enhancing security.
3Device complexity
If no tracking system is implemented for unregistered persons, then system complexity is reduced, but accurate tracking of movements and behavior patterns for security and commercial interests cannot be achieved
Solution Approach 1:
The access control system is enhanced to perform multiple functions: traditional access control, continuous location tracking, behavioral pattern recognition, and analytics generation. By integrating these functions into a unified system that leverages mobile device capabilities, the patent avoids the need for separate complex tracking infrastructure.
Solution Approach 2:
The system continuously collects data from mobile devices (location, movement patterns, dwell time) and uses this feedback to generate analytics about traffic patterns, security risks, and commercial insights. This feedback loop enables accurate tracking of unregistered persons without requiring prior registration or complex pre-configuration.
Data Source
AI summary
A predictive physical access control and security intervention system includes a credential device, indicia sensors, portal actuators; and a data store of historic and predicted travel events, whereby out of norm behaviors trigger elevated security intervention processes. A system detects, identifies, and measures occupancy and transit patterns of identities within and through a spatial volume. A processor performs statistical calculations of dwell time, movement patterns, path vectors, frequency of entry or exit, and transmission of attribute assertions containing trusted information to subscribers. The method transforms radio signals emitted by personal communications and identity devices into metrics of human traffic patterns, behavior conducive to commercial and security interests, and provides identity attributes containing trusted information to identity service subscribers.