Automated network supervision including detecting an anonymously administered node, identifying the administrator of the anonymously administered node, and registering the administrator and the anonymously administered node

• US 10,541,881 B2
• Filed: 12/14/2017
• Issued: 01/21/2020
• Est. Priority Date: 12/14/2017
• Status: Active Grant

• Current Assignee: Disney Enterprises Incorporated (The Walt Disney Company)
• Original Assignee: Disney Enterprises Incorporated (The Walt Disney Company)
• Inventors: Taylor, Glen, Wood, Gregory, Clark, Donald
• Primary Examiner(s): Murray, Daniel C.
• Application Number:
  US15/842,679
• Publication Number:
  US 20190190793A1
• Time in Patent Office: 768 Days
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: H04L 41/16 using machine learning or artificial intelligence
• CPC Class Codes: H04L 41/20 Network management software packages
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

According to one implementation, a network supervision system includes one or more computing platform(s) coupled to multiple nodes of a network including the computing platform(s), the computing platform(s) including a hardware processor and a system memory storing a network participant supervising software code and a network participant registry. The hardware processor executes the network participant supervising software code to detect an anonymously administered node of the network, aggregate system log files of the anonymously administered node, and perform an analysis of the system log files using an unsupervised machine learning algorithm to identify an administrator of the anonymously administered node. The hardware processor further executes the network participant supervising software code to generate a registration record associating the administrator with the anonymously administered node, and update the network participant registry using the registration record.

Claims

1. A network supervision system comprising:

at least one computing platform coupled to a plurality of nodes of a network including the at least one computing platform, the at least one computing platform including a hardware processor and a system memory storing a network participant supervising software code and a network participant registry;

the hardware processor configured to execute the network participant supervising software code to;

detect an anonymously administered node of the network;

aggregate a plurality of system log files of the anonymously administered node;

perform an analysis of the plurality of system log files using an unsupervised machine learning algorithm;

identify an administrator of the anonymously administered node based on the analysis;

generate a registration record associating the administrator with the anonymously administered node; and

update the network participant registry using the registration record.

2. The network supervision system of claim 1, wherein the administrator is identified as at least one of an organization having control over the anonymously administered node and a department within the organization.

3. The network supervision system of claim 1, wherein the administrator is identified as an individual person using the anonymously administered node.

4. The network supervision system of claim 1, wherein the anonymously administered node comprises a client system of the network.

5. The network supervision system of claim 4, wherein the anonymously administered node comprises a network interface of a software application.

6. The network supervision system of claim 1, wherein the network is a private network.

7. The network supervision system of claim 1, wherein the network supervision system comprises a cloud based, distributed system.

8. A method for use by a network supervision system including at least one computing platform coupled to a plurality of nodes of a network including the at least one computing platform, the at least one computing platform including a hardware processor and a system memory storing a network participant supervising software code and a network participant registry, the method comprising:

detecting, using the hardware processor, an anonymously administered node of the network;

aggregating, using the hardware processor, a plurality of system log files of the anonymously administered node;

performing an analysis of the plurality of system log files, using the hardware processor and an unsupervised machine learning algorithm;

identifying, using the hardware processor, an administrator of the anonymously administered node based on the analysis;

generating, using the hardware processor, a registration record associating the administrator with the anonymously administered node; and

updating, using the hardware processor, the network participant registry using the registration record.

9. The method of claim 8, wherein the administrator is identified as at least one of an organization having control over the anonymously administered node and a department within the organization.

10. The method of claim 8, wherein the administrator is identified as an individual person using the anonymously administered node.

11. The method of claim 8, wherein the anonymously administered node comprises a client system of the network.

12. The method of claim 8, wherein the anonymously administered node comprises a network interface of a software application.

13. The method of claim 8, wherein the network is a private network.

14. The method of claim 8, wherein the network supervision system comprises a cloud based, distributed system.

15. A computer-readable non-transitory medium having stored thereon instructions, which when executed by a hardware processor of a computing platform interactively coupled to a network, instantiate a method comprising:

detecting an anonymously administered node of the network;

aggregating a plurality of system log files of the anonymously administered node;

performing an analysis of the plurality of system log files using an unsupervised machine learning algorithm;

identifying an administrator of the anonymously administered node based on the analysis;

generating a registration record associating the administrator with the anonymously administered node; and

updating a network participant registry using the registration record.

16. The computer-readable non-transitory medium of claim 15, wherein the administrator is identified as at least one of an organization having control over the anonymously administered node and a department within the organization.

17. The computer-readable non-transitory medium of claim 15, wherein the administrator is identified as an individual person using the anonymously administered node.

18. The computer-readable non-transitory medium of claim 15, wherein the anonymously administered node comprises a client system of the network.

19. The computer-readable non-transitory medium of claim 15, wherein the anonymously administered node comprises a network interface of a software application.

20. The computer-readable non-transitory medium of claim 15, wherein the network is a private network.