WLAN Access Point Identification via Beacon Fingerprinting
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Solution Overview
Problem
Current methods for identifying unknown access points in WLAN communications networks lack efficiency, as they rely on manual inspection and do not effectively utilize the unique information present in beacon and probe response transmissions to accurately determine vendor, model, chipset type, and firmware version.
Innovation Solution
A system and method that captures and compares the details from beacon and probe response transmissions to create a fingerprint database of known access points, allowing for the identification of unknown access points by matching their characteristics with those in the database, even if an exact match is not found, and updating the database with new information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection methods are used to identify unknown access points, then the process is simple to implement, but the identification accuracy and efficiency are low
Solution Approach 1:
The patent creates a fingerprint database by capturing and storing beacon and probe response transmissions from known access points. These captured transmissions serve as templates or copies that can be automatically compared against unknown access point transmissions, enabling accurate identification without manual inspection while significantly improving efficiency through automated matching processes
Solution Approach 2:
The patent transforms the identification approach by changing from manual parameter inspection to automated comparison of captured transmission parameters. By extracting and comparing specific parameters from beacon and probe response transmissions (such as vendor-specific information elements, capability fields, and transmission characteristics), the system achieves both high accuracy and efficiency through systematic parameter analysis
2Measurement precision
If comprehensive details from beacon and probe response transmissions are captured and compared, then the identification accuracy improves, but the system complexity increases
Solution Approach 1:
The patent extracts only the essential and distinctive parameters from beacon and probe response transmissions for comparison, rather than analyzing all possible details. By focusing on key identifying features such as vendor-specific information elements, capability fields, and unique transmission characteristics, the system achieves high identification accuracy while keeping the complexity manageable through selective parameter extraction
Solution Approach 2:
The patent performs preliminary capture and organization of access point transmission details before the actual identification process. By pre-capturing beacon and probe response transmissions from known access points and storing them in an organized fingerprint database, the system prepares the data in advance, simplifying the subsequent comparison process and reducing the complexity of real-time analysis
Data Source
AI summary
A method and a node identification system for identifying at least one unknown access point in a communications network using details related to at least one known access point and organization of the details related to the at least one known access point. The method includes capturing details related to the at least one unknown access point and identifying an organization of the captured details related to the at least one unknown access point, comparing the details related to the at least one known access point and the organization of the details related to the at least one known access point with the captured details related to the at least one unknown access point and the organization of the captured details related to the at least one unknown access point, and determining a type of the at least one unknown access point based on the comparing.