Virtual Mission Environment Provisioning for Adaptive Cyber Training
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Solution Overview
Problem
Current cyber training systems are inadequate in providing dynamic and flexible training environments to effectively combat the rapidly evolving cyber threat landscape, as they are often static, costly to maintain, and unable to keep pace with the rapid changes in technology and cyber threats.
Innovation Solution
The development of a system and method that allows for the easy creation of cyber-training environments and the design of specific training mission hardware and software environments, featuring a virtual environment with virtual networks and machines, and automated tools for configuring and varying these environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual customization is performed for each industry target, then training needs are met, but development and support costs increase
Solution Approach 1:
The training system is designed to serve multiple industry targets (healthcare, finance, power grid, etc.) through a single unified platform. The system can be configured and customized for different industries without requiring separate dedicated systems, thereby reducing development and support costs while maintaining adaptability to various training needs.
Solution Approach 2:
The training system transitions from static, manually customized configurations to dynamic, automated provisioning. The system can automatically generate and provision training environments based on predefined templates and parameters, reducing the need for manual customization while maintaining adaptability to different industry requirements.
2Ease of manufacture
If training systems are configured once for targeted industry, then initial setup is simplified, but systems become obsolete quickly due to technology evolution
Solution Approach 1:
The training system incorporates dynamic provisioning capabilities that allow environments to be automatically updated and reconfigured as technology evolves. Instead of remaining static after initial configuration, the system can generate new training environments on-demand based on updated templates and parameters, keeping pace with technological changes.
Solution Approach 2:
The system uses parameter-based configuration where training environments are defined by adjustable parameters and templates. When technology evolves, the system can modify environmental parameters and regenerate configurations without complete reconfiguration, allowing the system to adapt to technological changes while maintaining the benefit of structured initial setup.
3Productivity
If fixed training applications are implemented, then training sessions are standardized, but flexibility to address diverse cyber threats is limited
Solution Approach 1:
The system transitions from fixed, static training applications to dynamic environment provisioning. Trainers can automatically generate varied training environments using templates and parameters, allowing the system to maintain standardized delivery processes while providing diverse, flexible training scenarios that adapt to different cyber threat contexts.
Data Source
AI summary
Methods and systems allow a user or operator to easily create cyber-training environments for use in a cyber-training system. In one embodiment, the environments are configured as missions. The missions may have a plurality of features, such as training objectives, a mission storyline, a mission order and mission objectives, relative to a mission environment. The mission environment comprises a virtual environment, such as defined by a virtual network having virtual machines or devices.