Root-cause analysis and automated remediation for Wi-Fi authentication failures

1. An analysis system comprising:

a network interface arranged in communication with a Wi-Fi system that is associated with a Local Area Network (LAN);

a processing device; and

a memory device configured to store a computer program having instructions that, when executed, enable the processing device to

monitor the Wi-Fi system to detect authentication failures in the Wi-Fi system,

in response to detecting an authentication failure in the Wi-Fi system, analyze the authentication failure to determine one or more root-causes of the authentication failure, and

push changes to the Wi-Fi system to automatically remediate the one or more root-causes in the Wi-Fi system using a closed-loop automation process.

2. The analysis system of claim 1 , wherein monitoring the Wi-Fi system includes collecting data in the Wi-Fi system and streaming the data to a message bus.

3. The analysis system of claim 2 , wherein the collected data is related to symptoms indicative of issues in the Wi-Fi system, and wherein monitoring the Wi-Fi system includes computing distances between the symptoms and a set of diagnostics, the computed distances corresponding to dissimilarities between the symptoms and each of the diagnostics.

4. The analysis system of claim 3 , wherein analyzing the authentication failure to determine the one or more root-causes includes filtering the symptoms based on confidence thresholds to obtain one or more paths and ranking the one or more paths based on the computed distances of the one or more paths.

5. The analysis system of claim 4 , wherein pushing the changes to the Wi-Fi system to automatically remediate the one or more root-causes includes remediating a root-cause for a highest-ranked path having the lowest computed distance before remediating one or more other root-causes.

6. The analysis system of claim 1 , wherein analyzing the authentication failure in the Wi-Fi system includes utilizing a hierarchical root-cause analysis tree having multiple levels to determine the one or more root-causes.

7. The analysis system of claim 1 , wherein automatically remediating the one or more root-causes includes

creating an incident request in an Information Technology Service Management (ITSM) system,

creating a change implementation request, and

upon approval of the change implementation request by a change management system, applying the change implementation request to the Wi-Fi system.

8. The analysis system of claim 1 , wherein the Wi-Fi system includes one or more of a user device, an Access Point (AP), a Wireless LAN Controller (WLC), a Network Access Control (NAC) device, a policy manager, and a directory service device.

9. The analysis system of claim 1 , wherein monitoring the Wi-Fi system includes obtaining syslog data, pre-processing the syslog data, and applying the pre-processed syslog data to a Machine Learning (ML) training system.

10. The analysis system of claim 9 , wherein pre-processing the syslog data includes utilizing one or more text searching techniques.

11. The analysis system of claim 9 , wherein the syslog data is related to Performance Monitoring (PM) data, alarms, and syslog messages.

12. The analysis system of claim 1 , wherein the authentication failure in the Wi-Fi system includes one or more of a wrong username error, a wrong password error, and a configuration mismatch.

13. The analysis system of claim 1 , wherein the LAN is part of an enterprise system.

14. A non-transitory computer-readable medium configured to store computer logic having instructions that, when executed, enable a processing device to:

monitor Wi-Fi system associated with a Local Area Network (LAN) to detect authentication failures in the Wi-Fi system,

in response to detecting an authentication failure in the Wi-Fi system, analyze the authentication failure to determine one or more root-causes of the authentication failure, and

push changes to the Wi-Fi system to automatically remediate the one or more root-causes in the Wi-Fi system using a closed-loop automation process.

15. The non-transitory computer-readable medium of claim 14 , wherein monitoring the Wi-Fi system includes collecting data in the Wi-Fi system and streaming the data to a message bus, wherein the collected data is related to symptoms indicative of issues in the Wi-Fi system, wherein monitoring the Wi-Fi system includes computing distances between the symptoms and a set of diagnostics, wherein the computed distances correspond to dissimilarities between the symptoms and each of the diagnostics, wherein analyzing the authentication failure to determine the one or more root-causes includes filtering the symptoms based on confidence thresholds to obtain one or more paths and ranking the one or more paths based on the computed distances of the one or more paths, and wherein pushing the changes to the Wi-Fi system to automatically remediate the one or more root-causes includes remediating a root-cause for a highest-ranked path having the lowest computed distance before remediating one or more other root-causes.

16. A method comprising the steps of:

monitoring a Wi-Fi system associated with a Local Area Network (LAN) to detect authentication failures in the Wi-Fi system,

in response to detecting an authentication failure in the Wi-Fi system, analyzing the authentication failure to determine one or more root-causes of the authentication failure, wherein analyzing the authentication failure in the Wi-Fi system includes utilizing a hierarchical root-cause analysis tree having multiple levels to determine the one or more root-causes, and

pushing changes to the Wi-Fi system to automatically remediate the one or more root-causes in the Wi-Fi system.

17. The method of claim 16 , wherein the Wi-Fi system includes one or more of a user device, an Access Point (AP), a Wireless LAN Controller (WLC), a Network Access Control (NAC) device, a policy manager, and a directory service device, wherein monitoring the Wi-Fi system includes obtaining syslog data from the WLC and NAC device, pre-processing the syslog data, and applying the pre-processed syslog data to a Machine Learning (ML) training system, wherein pre-processing the syslog data includes utilizing one or more text searching techniques, and wherein the syslog data is related to Performance Monitoring (PM) data, alarms, and syslog messages.