PATENT CLAIM ANALYSIS

Application Number: 16195322
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["434", "016000"]

Abstract:
A mission-based cyber training platform allows both offensive and defensive oriented participants to test their skills in a game-based virtual environment against a live or virtual opponent. The system builds realistic virtual environments to perform the training in an isolated and controlled setting. Dynamic configuration supports unique missions using a combination of real and/or virtual machines, software resources, tools, and network components. Game engine behaves in a manner that will vary if participant attempts to replay a scenario based upon alternate options available to the engine. Scoring and leader boards are used to identify skill gaps/strengths and measure performance for each training participant. A detailed assessment of a player's performance is provided at the end of the mission and is stored in a user profile/training record.

Claim (Index 1):
A system for providing mission-based cyber-threat training to at least one student comprising:\n at least one student station comprising at least one processor, at least one video display and a user input device; a system server comprising at least one processor and a memory, said system server in communication at one or more times with said at least one student station; non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a game server which is configured to receive input from said at least one student station of a selected training mission; at least one database of cyber-threat mission sources stored in association with said system server; non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a virtual environment manager which is configured to, in response to a selected cyber-threat training mission indicated by said game server, generate a virtual cyber mission environment comprising one or more virtual elements comprising a virtual network, a virtual system, a virtual device and a virtual tool for use by said game server in implementing said selected cyber-threat training mission as a game; at least one sensor configured to sense aspects of said selected cyber-threat training mission including student inputs; said game server configured to cause said at least one student station to display information regarding said virtual mission environment to a player; non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement an artificial intelligence engine which is configured to use natural language processing to comprehend text and language used by said player, and is configured to collect and store relevant data including cause and effect data associated with said virtual mission environment, to implement an artificial intelligence opponent to said student and an artificial intelligence monitor to provide on-demand in-game help to said student and automatically score said student, said artificial intelligence engine communicating with said game server to receive information regarding said student actions including sensed aspects from said sensor and to generate opponent actions which are displayed by said student station to said at least one student, said artificial intelligence opponent using machine learning and modeling to generate dynamic opponent responses.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.41667
- Patent Class: 434.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15466833', '15274096', '16056892', '16109430', '15498307']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.41622897909813
- 35 USC 102 Novelty (BERT): 0.6265084517962108
- Combined Prediction Score: 0.4372569263679381
- Mean Citation Score: 468.865508
- Max Citation Score: 607.4976
- Similarity Product: 574.4920796041487

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test