Automated Fingerprinting for Hardware Device Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
IT organizations face challenges in efficiently classifying and managing large numbers of hardware devices due to frequent changes and additions, making manual classification inaccurate and inefficient.
Innovation Solution
Automated fingerprinting of devices based on their hardware components, which generates a unique identifier for each device, eliminating the need for complex business logic and decision trees by dynamically assigning and managing these fingerprints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual classification methods are used for hardware devices, then human judgment and flexibility can be applied, but accuracy and efficiency deteriorate due to frequent changes and large device numbers
Solution Approach 1:
The patent replaces manual classification (mechanical human judgment) with automated fingerprint-based identification systems. Hardware devices are classified through automated comparison of fingerprint data against stored templates, eliminating manual intervention while maintaining high accuracy and efficiency even with frequent device changes
Solution Approach 2:
The patent creates fingerprint copies or templates of hardware device configurations and stores them in a database. Instead of manually classifying each device, the system compares device fingerprints against stored copies to enable rapid, accurate automated classification and tracking of hardware configurations
2Quantity of substance
If the number of hardware devices increases to handle Big Data and cloud services, then storage capacity and processing power improve, but device management complexity and classification difficulty worsen
Solution Approach 1:
The patent segments device identification into distinct fingerprint components (hardware identifiers, configuration parameters) that can be independently captured, stored, and compared. This segmentation enables scalable management of large device numbers by breaking down complex device profiles into manageable, comparable units
Solution Approach 2:
The patent creates a universal fingerprinting system that can identify and classify diverse hardware devices across different categories (servers, storage devices, network equipment). The same fingerprinting methodology applies universally to all device types, simplifying management complexity despite increasing device quantity and diversity
3Adaptability or versatility
If frequent device part removal or replacement occurs to adapt to changing requirements, then system adaptability improves, but classification accuracy deteriorates due to configuration changes
Solution Approach 1:
The patent implements feedback mechanisms where device fingerprints are continuously captured, compared against stored templates, and used to detect configuration changes. When parts are removed or replaced, the system generates feedback signals that trigger automatic updates to device profiles, maintaining accurate classification despite frequent adaptability changes
Solution Approach 2:
The patent creates a dynamic classification system where device fingerprints and their associated configurations are not static but can be automatically updated when changes occur. The system adapts to configuration changes by continuously monitoring fingerprint data and updating device classifications in real-time, maintaining accuracy while supporting system adaptability
Data Source
AI summary
Disclosed are techniques for automating records related to devices coupled to a network, such as servers, clients and memory banks. The fingerprint-based configuration typing and classification described herein may identify a fingerprint for a first device located on a network, the first device having a plurality of hardware components and the fingerprint generated based on a combination of at least two hardware components of the first device. The fingerprint is assigned to the first device. If the device does not have a first identifier assigned to it that identifies the plurality of hardware components, the fingerprint is compared to a plurality of stored fingerprints, with at least some of the stored fingerprints having a respective identifier. If the fingerprint matches one of the plurality of stored fingerprints and that stored fingerprint has an identifier associated therewith, the identifier associated with the stored fingerprint is assigned to the first device as the first identifier.