COMPUTER NETWORK DEFENSE TRAINING ON OPERATIONAL NETWORKS USING SOFTWARE AGENTS

Patent №

US 10,909,244

Granted

2021-02-02

Filed 2019

Owner

ARCHITECTURE TECHNOLOGY CORPORATION

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16502629

An example method includes storing a scenario event list that defines one or more events associated with a training exercise, and configuring, based on the events defined in the scenario event list, one or more software agents to emulate one or more cyber-attacks against a host computing system during the training exercise, which includes configuring the software agents to save a state of one or more resources of the host computing system prior to emulating the cyber-attacks and to restore the state of the resources upon conclusion of the cyber-attacks. The example method further includes deploying the software agents for execution on the host computing system during the training exercise to emulate the cyber-attacks against the host computing system using one or more operational networks.

Machine learningPlanningG06F 21/566G06F 21/554G06F 21/577G06F 2221/033

AI classification

Machine learning0.89
Planning0.72
Knowledge representation0.47
AI hardware0.03
Natural language0.01
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

ARCHITECTURE TECHNOLOGY CORPORATION

assignment · 496640020

Assignors

DONOVAN, MATTHEW P., JOYCE, ROBERT A., POWERS, JUDSON, HOLLISTER, DAHYUN

On an employer assignment, the assignors are typically the inventors.

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