Premises Access Authentication Using Weighted Multi-Factor Scoring
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Solution Overview
Problem
Existing premises monitoring systems lack robust and flexible authentication methods for granting access, especially in dynamic scenarios involving varying security levels and visitor categories.
Innovation Solution
A dynamic multi-factor authentication system that evaluates multiple authentication factors, including facial recognition, mobile device presence, verbal passcodes, and keypad entries, weighted based on reliability and security conditions, to determine access validity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional numeric keypad authentication is used, then ease of operation is improved, but security and reliability are worsened
Solution Approach 1:
The authentication system dynamically adjusts the required authentication factors based on real-time conditions such as visitor category, time of day, and security alerts. The system transitions from static numeric code authentication to a dynamic multi-factor authentication process that adapts its security requirements, combining ease of operation with enhanced reliability through conditional authentication pathways.
Solution Approach 2:
The system changes authentication parameters by introducing multiple authentication factors (facial recognition, mobile device detection, verbal passcodes) with different weights. The authentication threshold and required factors are modified based on visitor profiles and security conditions, transforming the single-parameter numeric code system into a multi-parameter authentication framework that balances usability and security.
2Reliability
If multiple authentication factors are required, then security and reliability are improved, but device complexity and operation difficulty are worsened
Solution Approach 1:
The authentication system is segmented into distinct functional modules: facial recognition module, mobile device detection module, verbal passcode module, and weighting module. Each module independently evaluates one authentication factor, and the results are combined through a weighted scoring system. This segmentation manages complexity by organizing multiple authentication factors into separate, manageable components rather than a monolithic system.
Solution Approach 2:
The authentication system achieves multi-functionality by integrating multiple authentication methods (facial recognition, mobile device detection, verbal passcodes, numeric keypads) into a single unified platform. The system can adaptively select and combine different authentication factors based on the situation, making one system serve multiple security purposes and reducing the need for separate authentication systems for different scenarios.
3Measurement precision
If authentication factors are weighted based on reliability, then authentication precision is improved, but device complexity and computation are worsened
Solution Approach 1:
The system introduces weighting parameters for each authentication factor based on their relative reliability and security importance. Facial recognition, mobile device detection, and verbal passcodes are assigned higher weights compared to numeric keypads. These weight parameters are integrated into the authentication scoring formula, allowing the system to precisely evaluate authentication requests by considering both the type and reliability of each factor without requiring complex computational models.
Data Source
AI summary
Systems, methods, and devices are described herein. An example system is disclosed. The system includes at least one computing device configured to communicate with a premises monitoring system located at a premises. The at least one computing device is further configured to determine that a plurality of authentication factors associated with a person at the premises monitoring system have been satisfied, determine a respective weight of a plurality of weights for each of the plurality of authentication factors, determine a security factor for the premises monitoring system, calculate an authentication value for the person based on the security factor and the plurality of weights for the plurality of authentication factors, determine that the authentication value meets a predefined authentication threshold, and in response to determining that the authentication value meets the predefined authentication threshold, deem the person authenticated.