Automated Wi-Fi Authentication Failure Root Cause Analysis
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Solution Overview
Problem
Current systems require significant human effort and time to identify and remediate Wi-Fi authentication failures, as they involve collecting and correlating syslog data from multiple network devices to determine the root cause of authentication issues.
Innovation Solution
An analysis system that includes a network interface connected to a Wi-Fi system, a processing device, and a memory device configured to execute instructions for monitoring the Wi-Fi system, analyzing authentication failures to determine root causes, and automatically remediating these issues using a closed-loop automation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual collection and correlation of syslog data from multiple network devices is performed to identify root cause of authentication failures, then measurement precision of root cause identification is improved, but loss of time and human effort increases
Solution Approach 1:
The patent segments the root cause analysis process into distinct automated components: syslog data collection from multiple devices, correlation analysis to identify relationships between events, and automated remediation actions. This segmentation enables parallel processing and eliminates manual intervention at each stage, resolving the contradiction between precise identification and time consumption.
Solution Approach 2:
The patent introduces an automated analysis system as an intermediary between syslog data collection and root cause identification. This intermediary automatically correlates events across multiple network devices, performs pattern recognition, and determines root causes without requiring manual human analysis, thereby maintaining high precision while dramatically reducing time loss.
2Reliability
If comprehensive syslog data collection from all network devices is performed to ensure complete root cause analysis, then reliability of diagnosis is improved, but device complexity and data processing burden increases
Solution Approach 1:
The patent implements a universal automated analysis system that can collect, correlate, and analyze syslog data from multiple different network devices (Wireless LAN Controllers, Access Points, Identity Service Engines, Policy Managers) using a single integrated platform. This multi-functional approach ensures comprehensive data collection for reliable diagnosis while avoiding the complexity of separate analysis tools for each device type.
Solution Approach 2:
The patent creates a virtualized representation of the network infrastructure through automated syslog data collection and correlation, allowing analysis of network authentication issues without directly manipulating or adding physical complexity to the actual network devices. The analysis occurs in a copied/digital realm, maintaining reliability while isolating complexity from the production network.
3Productivity
If automated remediation actions are implemented to fix authentication failures, then productivity is improved, but ease of operation decreases due to automation complexity
Solution Approach 1:
The patent implements self-service automated remediation where the system automatically identifies authentication failures, determines root causes through correlation analysis, and executes appropriate remediation actions without human intervention. The system serves itself by having built-in capabilities to both diagnose and fix issues, dramatically improving productivity while the abstraction layer maintains ease of operation through simple monitoring interfaces.
Solution Approach 2:
The patent establishes a closed-loop feedback system where automated remediation actions are triggered by detected authentication failures, and the system continuously monitors to verify successful resolution. This feedback mechanism ensures high productivity through automation while maintaining ease of operation by providing clear visibility into system status and automatic confirmation of issue resolution without requiring manual verification.
Data Source
AI summary
Systems and methods are provided herein for analyzing root-causes of network access failures in a wireless network. In response to detecting that a client device experiences a network access failure that prevents communication with a server device, a method, according to one implementation, includes a step of analyzing the network access failure to predict one or more root-causes. Also, the method includes beginning a remediation procedure for remediating the one or more root-causes.