IoT Device Descriptor Generation for Faster Secure Onboarding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The rapid proliferation of IoT devices has led to infrastructure challenges such as varying data processing needs, onboarding and maintenance issues due to lack of standardized files, and cumbersome manual entry requirements for IoT device management.
Innovation Solution
A method that automates the process of collecting and using IoT device data to create behavioral characterizations, generating files like MUD profiles and dashboard configurations, using a generative model to streamline security and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual entry requirements are used for IoT device management, then device information can be accurately recorded, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system enables self-service by having IoT devices automatically generate and transmit their own descriptor files containing device information. The network controller automatically processes these files without requiring manual intervention, thus maintaining accuracy while eliminating time-consuming manual entry operations
Solution Approach 2:
The system performs preliminary action by pre-defining the structure and format of device descriptor files that devices must follow. This preliminary standardization allows for automatic processing and eliminates the need for manual data entry while ensuring consistent and accurate information capture
2Reliability
If standardized files are implemented for IoT devices, then network efficiency and security are improved, but device compatibility challenges arise
Solution Approach 1:
The system implements universality by creating a universal descriptor file format that all IoT devices must follow regardless of their specific type or manufacturer. This single standardized format serves multiple functions: it ensures network security through consistent validation, enables efficient data processing, and maintains compatibility across diverse device types while allowing each device to provide its specific information within the unified structure
3Extent of automation
If automated file generation is implemented, then manual entry requirements are reduced, but data processing complexity increases
Solution Approach 1:
The system applies segmentation by dividing the data processing task into distinct segments: device generation of descriptor files, transmission of files to the network controller, and automated processing by the controller. This segmentation allows for high automation while managing complexity by isolating processing functions and using predefined templates that simplify the automated processing logic
Data Source
AI summary
The present technology automates the process of collecting and using data from IoT devices to improve IoT security and management while limiting the manual entry requirements of conventional IoT platforms. The technology receives data from IoT devices and determines behavioral characterizations of the IoT devices based on the data. The technology then uses a generative model to create a file representative of the behavioral characterizations of the IoT device, and uses that file to represent new IoT devices with similar attributes to those represented by the file. In doing so, the technology can improve security by, for example, creating a MUD file representative of a new IoT device with no associated MUD file. The technology can also create a file representative of the IoT device to improve onboarding of an IoT device in, for example, an IoT operations dashboard.