Simulated Network System for Cyber Threat Training
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Solution Overview
Problem
Computer networks face challenges in effectively simulating and training for cyber attacks and network upgrades due to the evolving nature of cyber threats and the need for realistic defense mechanisms, while existing solutions lack comprehensive and realistic simulation environments.
Innovation Solution
The development of a Simulated Network System, such as Cyberoperations Enhanced Network and Training Simulators (CENTS), which includes a standalone computer network platform with modules for simulating network environments, monitoring operations, analyzing impacts, and comparing against predetermined baselines, allowing for user-initiated actions, network protocol testing, and network attack simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a simulated network environment is created for training and testing, then training effectiveness and security validation are improved, but system complexity and resource requirements increase
Solution Approach 1:
The patent creates a simulated network environment that copies the structure, behavior, and characteristics of a real production network. This includes replicating network topology, devices, traffic patterns, and even attack scenarios. By using copies rather than real systems, the patent achieves realistic training effectiveness while isolating the complexity from production environments.
Solution Approach 2:
The simulated network environment is divided into distinct segments including training zones, testing zones, and isolation layers. This segmentation allows different aspects of network operations to be simulated independently, reducing overall system complexity while maintaining comprehensive training capabilities.
2Reliability
If network upgrades are tested in a simulated environment, then potential impacts are identified before implementation, but simulation accuracy and realism must be maintained
Solution Approach 1:
The patent implements network upgrades in the simulated environment before deploying them to production. This preliminary action allows complete validation of upgrade impacts including performance, compatibility, and security without risking the actual network. The simulation is configured to mirror production closely enough to provide accurate predictive measurements.
Solution Approach 2:
The system incorporates monitoring and analysis components that provide feedback on simulated network operations. This feedback loop allows continuous refinement of the simulation accuracy and validates that the simulated environment correctly predicts real-world behavior, thereby improving measurement precision over time.
3Loss of information
If comprehensive monitoring and analysis capabilities are added to the simulated environment, then operational insights are improved, but system resource consumption increases
Solution Approach 1:
The monitoring and analysis components are designed to serve multiple functions simultaneously. The same monitoring infrastructure that tracks network operations also validates simulation accuracy, trains operators, and tests security protocols. This multi-functionality reduces overall resource consumption while providing comprehensive operational insights.
Solution Approach 2:
The monitoring capability is asymmetric in its resource allocation - intensive monitoring is applied only where needed for critical operations and validation points, while less intensive monitoring is used elsewhere. This asymmetric approach maximizes operational insights while minimizing unnecessary resource consumption.
Data Source
AI summary
Systems and methods for monitoring and analyzing components and operation of a simulated network environment including a module configured for storing a predetermined baseline for the simulated network environment, monitoring the simulated network environment during one or more operations, analyzing the monitored operations and the impact of the operations on one or more components of the simulated network environment, and comparing at least one of the monitored operations and impacts of the operations against the predetermined baseline.