Dynamic Fingerprint Matching for Network Authentication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for authenticating client devices based on IP addresses are vulnerable to spoofing, and fingerprinting techniques face challenges with large numbers of devices and changing attributes, leading to security risks and inefficiencies in identifying valid fingerprints.
Innovation Solution
A dynamic fingerprint matching system that collects client device attributes, identifies potential fingerprints, and matches them against previously validated fingerprints stored in a database, authorizing access only when a match is found, while applying learning algorithms to differentiate between similar fingerprints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprinting techniques are used to authenticate client devices, then security against IP spoofing is improved, but the complexity of managing and matching large numbers of fingerprints increases
Solution Approach 1:
The system segments the large set of fingerprints into smaller candidate groups based on matching fingerprint attributes (browser type, OS, screen resolution, etc.). This segmentation reduces the complexity of managing and searching through all fingerprints by organizing them into manageable subsets that can be independently evaluated.
Solution Approach 2:
The system performs preliminary filtering of fingerprints by comparing fingerprint attributes against stored candidate fingerprints before conducting the final matching process. This preliminary action eliminates obviously non-matching fingerprints early in the authentication process, reducing the computational burden of the complete fingerprint matching operation.
2Adaptability or versatility
If the number of stored fingerprints grows to accommodate large numbers of client devices, then authentication coverage is improved, but the time required to identify the correct fingerprint increases
Solution Approach 1:
The system divides the large fingerprint database into smaller candidate groups based on attribute matching. By segmenting the search space, the system maintains comprehensive authentication coverage while reducing the time required to identify the correct fingerprint, as the search is confined to relevant subsets rather than the entire database.
Solution Approach 2:
The system performs partial matching on key fingerprint attributes first, identifying a subset of candidate fingerprints that partially match the client device characteristics. This partial action approach allows the system to handle large numbers of devices efficiently by not requiring complete fingerprint comparison for all stored fingerprints, thus reducing identification time while maintaining authentication coverage.
3Reliability
If fingerprint attributes are used for authentication, then reliability against spoofing is improved, but fingerprints may change over time causing authentication failures
Solution Approach 1:
The system dynamically manages fingerprint attributes by updating and maintaining candidate fingerprint records over time. When fingerprint attributes change (such as browser updates or OS changes), the system adapts by updating the stored fingerprint data and adjusting candidate groups accordingly. This dynamic approach maintains anti-spoofing reliability while accommodating legitimate attribute changes in client devices.
Data Source
AI summary
Methods, non-transitory computer readable media, network traffic management apparatuses, and network traffic management systems that receives a client access request to access content at one or more server devices. Fingerprint attributes associated with the client device are collected and utilized to identify potential fingerprints. Potential fingerprints are identified based on the collected fingerprint attributes. Previously validated fingerprints stored in a database are utilized to determine when the one of the potential fingerprints matches with one of a previously validated fingerprints stored in the database. The client device is authorized to access content requested in the client access request when the determination indicates that the one of the potential fingerprints matches with one of the plurality of previously validated fingerprints stored in the database.