Learned Roaming Authentication Profiles for Mobile Devices
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Solution Overview
Problem
Mobile devices often fail to automatically authenticate to wireless networks without a static roving authentication profile, leading to missed opportunities for connecting to Wi-Fi networks, which can result in higher battery consumption and increased cellular data usage.
Innovation Solution
The implementation of learned or implicit authentication profiles that associate authentication credentials with contextual information, allowing devices to authenticate to new networks by leveraging previously successful authentication credentials and contextual data, even in the absence of a static profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static authentication profile is stored on the mobile station, then automatic authentication to a network is enabled, but the device cannot authenticate to visited networks that are not in the pre-configured profile
Solution Approach 1:
The patent transforms the static authentication profile into a dynamic learned profile that automatically adapts to visited networks. The system monitors authentication outcomes and updates the profile accordingly, enabling the device to learn from successful authentications and apply them to similar visited networks, thus resolving the contradiction between reliable automatic authentication and adaptability to new networks.
Solution Approach 2:
The mobile station performs self-learning by automatically monitoring its own authentication outcomes and updating its profile without external intervention. The device serves itself by extracting useful information from authentication attempts and autonomously improving its ability to authenticate to visited networks, eliminating the need for manual profile configuration.
2Reliability
If the mobile station manually authenticates to networks, then connectivity is ensured, but user convenience and automation are reduced
Solution Approach 1:
The system implements self-service authentication where the mobile station automatically monitors authentication outcomes, learns from successful connections, and updates its profile without requiring user intervention. This maintains reliable connectivity while eliminating manual authentication operations, allowing the device to autonomously manage its authentication profile.
Solution Approach 2:
The patent incorporates feedback mechanisms where the authentication outcomes are monitored and fed back into the profile learning process. Successful authentications provide positive feedback that updates the learned profile, enabling the system to automatically improve its authentication capability based on real-world performance data.
3Reliability
If the device remains connected to cellular service, then network coverage is maintained, but battery consumption increases
Solution Approach 1:
The system uses feedback from authentication outcomes to learn which networks provide reliable connectivity. By monitoring successful authentications and their associated characteristics, the device builds a learned profile that guides future authentication attempts, enabling the system to automatically select energy-efficient networks while maintaining reliable coverage.
Solution Approach 2:
The patent changes the parameter of authentication profile from static to dynamic learned profiles that evolve based on observed network behavior. This allows the system to adapt its authentication strategy based on real-time conditions, selecting networks that balance connectivity reliability with energy efficiency.
Data Source
AI summary
Disclosed herein are systems and methods for determining learned associations between authentication credentials and network contextual data, such as may be utilized in a network that supports network roving. A mobile device attempts to rove to a visited network using authentication credentials associated with another network, based at least in part on first contextual information associated with the other network and second contextual information associated with the visited network indicating that the visited network is part of a common association of networks that supports roving internetworking between the networks of the common association.