Vehicular Multi-Factor Authentication for Tiered Feature Access
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Solution Overview
Problem
Unsecured or improperly secured vehicles are susceptible to unauthorized access or use, as traditional key-based systems do not adequately prevent unauthorized entry or access to vehicle features.
Innovation Solution
A system for multi-factor entry authentication of vehicle entry events, which includes a digital assistant application executing in a vehicle. This application uses sensors to detect entry events, receives authentication input signals from multiple sensors, and determines authentication states based on these signals and predefined credentials. It then identifies an access permission level to grant access to specific vehicle functionalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional key-based entry systems are used, then ease of operation is maintained, but security against unauthorized access deteriorates
Solution Approach 1:
The authentication system is segmented into multiple independent factors: biometric authentication (fingerprint, facial recognition), device-based authentication (mobile device proximity and verification), and behavioral authentication (usage patterns). Each factor operates independently but contributes to the overall authentication decision, allowing the system to maintain high security while managing complexity through modular design.
Solution Approach 2:
A digital assistant application serves as an intermediary layer between the user and the vehicle's access control system. This mediator coordinates multiple authentication factors, manages credential verification, and makes authorization decisions based on policy rules, thereby simplifying the overall system architecture while enabling complex multi-factor authentication workflows.
2Reliability
If multi-factor authentication is implemented, then security is improved, but ease of operation deteriorates
Solution Approach 1:
Authentication credentials are pre-configured and stored in the system before actual access attempts. Biometric templates are enrolled in advance, mobile devices are pre-paired with the vehicle, and authentication policies are predetermined. When a user attempts access, the system simply verifies against these pre-established credentials rather than requiring complex real-time authentication decisions.
Solution Approach 2:
The system performs self-verification of authentication credentials without requiring user intervention beyond the initial biometric input. The digital assistant automatically coordinates between different authentication factors, verifies device proximity, checks behavioral patterns, and makes authorization decisions autonomously, reducing the operational burden on users while maintaining multi-factor security.
Data Source
AI summary
The systems and methods described herein can include a digital assistant application that receives sensor signals from sensors installed in a vehicle and determines an entry event into the vehicle. The digital assistant application can receive, responsive to the entry event into the vehicle, a plurality authentication input signals from a plurality of sensors associated with the vehicle. The digital assistant application can determine a plurality of authentication states based on the plurality of authentication input signals and a plurality of authentication credentials. The digital assistant application can identify an access permission level of a plurality of access permission levels based at least in part on the plurality of identifies authentication states. The digital assistant application can identify, responsive to the access permission level, a subset of a set of functionalities available via the vehicle, and provide vehicular access to the subset of functionalities.