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 14):
The system in accordance with  claim 1  further comprising non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a battle room environment where said player can select specific training areas or tasks with said game server configured to cause said at least one student station to display information regarding said specific training areas or tasks to a player.

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): 0.4131179077398473
- 35 USC 102 Novelty (BERT): 0.6344033193578027
- Combined Prediction Score: 0.4352464489016429
- Mean Citation Score: 468.865508
- Max Citation Score: 607.4976
- Similarity Product: 602.6116832210541

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