IoT Configuration Server for Secure Financial Transactions
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Solution Overview
Problem
Current IoT platforms face challenges in configuring complex ecosystems for financial transactions, lack secure and reliable authentication, and are vulnerable to security threats, particularly in handling personal and financial data, with existing solutions struggling with scalability, storage, and processing power.
Innovation Solution
A system and method for providing services to smart devices in an IoT platform, utilizing a Customer Interaction Module, Configuration Module, Security Module, Application Programming Interface, Process Orchestration Layer, Personal Payment Gateway, Natural Language Processing, and Adaptive Learning Engine to manage device registration, authentication, payment processing, and user interactions, ensuring secure and efficient financial transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple devices are configured independently with diverse protocols and technologies, then device functionality and versatility are improved, but system complexity and configuration difficulty increase significantly
Solution Approach 1:
The patent implements a universal configuration server that can handle multiple device types and protocols through a single integrated platform. The server uses standardized data models and communication interfaces to manage diverse IoT devices, eliminating the need for separate configuration systems for each device type while maintaining full functionality support.
Solution Approach 2:
The configuration server acts as an intermediary between users and diverse IoT devices. It translates between various device protocols and a standardized internal representation, simplifying the configuration process. The server mediates authentication, device registration, and service provisioning, reducing the complexity users would otherwise face when dealing with multiple proprietary protocols.
2Reliability
If decentralized approaches and blockchain techniques are used for security and authentication, then security and reliability are improved, but processing power requirements and time consumption increase
Solution Approach 1:
The system implements self-service authentication mechanisms where devices automatically perform mutual authentication with the configuration server using pre-shared keys or certificates. The server autonomously manages device registration, service provisioning, and credential distribution without requiring manual intervention or complex decentralized verification processes, maintaining security while reducing processing overhead.
3Reliability
If user interference is required for safe and reliable communications, then security is improved, but ease of operation and user experience deteriorate
Solution Approach 1:
The configuration server performs preliminary authentication and authorization actions before actual device communications occur. Users complete security setup and service provisioning in advance through guided workflows, after which the system automatically manages secure communications without requiring continuous user intervention. This approach ensures communication reliability while significantly improving ease of operation for subsequent interactions.
Data Source
AI summary
Systems and methods for providing services to smart devices connected in an Internet of things (IoT) platform. It detects the user and connected registered smart devices in it's vicinity, authenticates them, and receives and processes various requests from them. The user may also provide inputs in natural language and the invention maps context associated with the user utterance to an intent to utilize the one or more services. It may also generate one or more customized responses for one or more outlier requests based on historical data stored in the database. It may automatically processes payment pertaining to one or more services subscribed by the user, wherein information specific to the payment is obtained based on the configuration preferences stored in a database and the one or more services being analyzed by the Process Orchestration Layer module.