Cross Domain Guard Normalization Server Adaptation
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Solution Overview
Problem
Current cross-domain solutions require lengthy and costly re-accreditation processes whenever operational or data needs evolve, leading to operational limitations, delays, and increased costs.
Innovation Solution
The proposed system includes a guard normalization server that converts data streams from external sources into a standardized format, allowing seamless transmission across different security domains without the need for frequent re-accreditation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current cross-domain solutions use strict pre-defined data sources and structures, then security accreditation is maintained, but adaptability to evolving operational needs deteriorates
Solution Approach 1:
The system segments the cross-domain solution into modular components: data sources, data structure definitions, rule sets, and the cross-domain guard. This modular architecture allows individual components to be updated independently without requiring complete re-accreditation of the entire system, thus improving adaptability while maintaining security.
Solution Approach 2:
The patent implements dynamic rule sets and data structure definitions that can be modified without re-accreditation. The system transitions from static, pre-defined parameters to dynamic, updatable configurations, allowing the cross-domain solution to adapt to evolving operational needs while maintaining accredited security boundaries.
2Reliability
If re-accreditation is performed frequently to maintain security, then security compliance is improved, but time and cost increase
Solution Approach 1:
The system performs preliminary actions by establishing comprehensive security accreditation upfront that covers future modifications. The initial accreditation process is designed to anticipate and accommodate future changes in data sources, structures, and rules, eliminating the need for frequent re-accreditation and reducing time loss.
Solution Approach 2:
The patent introduces an intermediary layer (the normalized data structure and rule set management system) between the data sources and the cross-domain guard. This intermediary absorbs the impact of changes, allowing modifications to be made without triggering re-accreditation requirements, thus maintaining security compliance while reducing time and cost.
3Productivity
If data formats are standardized for efficient transmission, then productivity is improved, but flexibility in handling diverse external sources deteriorates
Solution Approach 1:
The patent introduces a normalization server as an intermediary that receives diverse data from external sources in various formats, converts them to a standardized normalized structure, and then transmits them to the cross-domain guard. This intermediary enables efficient standardized transmission while maintaining the ability to handle diverse external data sources through format conversion.
Solution Approach 2:
The system applies local quality by allowing each external data source to maintain its native format and structure characteristics while the normalization server converts them to a standardized form for transmission. Each data source operates with its own local quality requirements, while the transmission channel benefits from standardized efficiency.
Data Source
AI summary
Exemplary embodiments include a system to prevent flow of data or cross-contamination from a higher level classification system to a lower level classification system. A cross domain guard allows a data or network connection between processors handling data of different classification levels. The cross domain guard may allow for uni-directional or bi-directional data flow. The guard may allow flow of data from the lower level to the higher level. A normalization server may be used to allow for exchange and/or input and/or processing of data or material from different sources. The normalization server receives an input from a source (e.g., a platform, a payload, a system, open source, etc.). The input data may be a particular format. The normalization server may perform any required data conversion.