Cloud-based rogue network device detection
AssigneeCalix, Inc.
InventorsScott Notch, Marta Seda, Dylan Ethen, Scott Moen, Christopher T. Bernard
Life of this patent
Estimating the term…
Abstract
A system includes one or more memories, and model generation circuitry coupled to the one or more memories, wherein the model generation circuitry is configured to: determine a plurality of decision trees, wherein each decision tree is associated with a corresponding network whose attribute data, including interface statistics, is used for training a trained model and includes one or more decision nodes for indicating whether the corresponding network includes a rogue network device; aggregate the plurality of decision trees to generate the trained model; and output the trained model for rogue network device detection.
Claims20
A system comprising:
- one or more memories;
- and
- model generation circuitry coupled to the one or more memories, wherein the model generation circuitry is configured to:
- determine a plurality of decision trees, wherein each decision tree is associated with a corresponding network whose attribute data, including interface statistics, is used for training a trained model and includes one or more decision nodes for indicating whether the corresponding network includes a rogue network device;
- aggregate the plurality of decision trees to generate the trained model;
- and
- output the trained model for rogue network device detection.
A method comprising:
- determining, with model generation circuitry, a plurality of decision trees, wherein each decision tree is associated with a corresponding network whose attribute data, including interface statistics, is used for training a trained model and includes one or more decision nodes for indicating whether the corresponding network includes a rogue network device;
- aggregating the plurality of decision trees to generate a trained model;
- and
- outputting the trained model for rogue network device detection.
A computer-readable storage medium storing instructions thereon that when executed cause model generation circuitry to:
- determine a plurality of decision trees, wherein each decision tree is associated with a corresponding network whose attribute data, including interface statistics, is used for training a trained model and includes one or more decision nodes for indicating whether the corresponding network includes a rogue network device;
- aggregate the plurality of decision trees to generate a trained model;
- and
- output the trained model for rogue network device detection.
Dependencies are inferred from the claim text.