Curbside Banking Authentication for Secure Vehicle-to-Spot Pairing
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Solution Overview
Problem
Existing banking systems face inefficiencies and security risks in providing distanced, in-person financial services due to the potential for customers to inadvertently connect to incorrect IoT devices at bank branches, leading to privacy and authentication issues.
Innovation Solution
A dual authentication procedure involving IoT devices and mobile devices to verify the correct connection of vehicles to their designated parking spots, using authentication tokens and vehicle identification, along with image data analysis to ensure accurate matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless connection is enabled for curbside banking services, then service efficiency and customer convenience are improved, but security risks and privacy issues arise from potential incorrect connections
Solution Approach 1:
The system implements feedback mechanisms where the computing system receives connection information from IoT devices and customers, validates the matching between customers and IoT devices, and provides confirmation or correction feedback. This ensures that connections are verified and corrected if incorrect, maintaining security while enabling wireless service efficiency.
Solution Approach 2:
The patent introduces an intermediary validation process where the computing system acts as a mediator between customers and IoT devices. It receives connection requests, validates the pairing information, and confirms correct connections before allowing banking services to proceed, thus preventing incorrect connections while maintaining service efficiency.
2Measurement precision
If dual authentication is implemented to prevent incorrect connections, then connection accuracy and customer privacy are improved, but system complexity increases
Solution Approach 1:
The system implements self-service authentication where customers provide their own connection information (such as customer ID or vehicle identifier) and the IoT devices provide their identification. The computing system automatically validates this information against stored data, reducing manual intervention while maintaining high connection accuracy through automated dual authentication.
3Productivity
If a single teller serves multiple customers via curbside banking, then labor efficiency is improved, but the risk of privacy breaches increases
Solution Approach 1:
The system segments the service process by creating individual authenticated communication channels between the teller and each customer's vehicle. Each connection is uniquely identified and validated, ensuring that even though a single teller serves multiple customers, the privacy of each customer's banking information remains isolated and protected through separate authenticated sessions.
Data Source
AI summary
Techniques discussed herein describe an example system for verifying the identity and location of a customer in a bank branch parking lot. A server determines whether to provision a service for a vehicle based on telemetry data received from a telemetry module on the vehicle in a fleet of vehicles. The telemetry data includes a first location and status information of the vehicle. The server identifies a vendor to provide the service and directs the vehicle to a second location of the vendor from the first location of the vehicle. The server provides authorization to the vehicle for an on-board transaction module to initiate a request for the service when the vehicle is at the second location of the vendor.