Automated Security Architecture Design Using Directed Graphs
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Solution Overview
Problem
Existing cybersecurity solutions for large networks are cumbersome, prone to errors, and difficult to implement due to the complexity of scaling and decentralized updates, making it impractical to manually identify and modify security architectures based on constraints such as cost, time, and security requirements.
Innovation Solution
A system and method that includes an interface to access remote data sources for security information, a processor to identify user-based constraints, and automatically generate a security architecture model that complies with these constraints by comparing and modifying existing models, using directed graphs to represent network architectures and incorporating data from various sources to ensure accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to identify and modify security architectures, then human expertise and flexibility can be applied, but the process becomes cumbersome, error-prone, and difficult to scale for large networks
Solution Approach 1:
The patent replaces manual mechanical analysis methods with automated computer-based systems that use algorithms to identify security architectures, analyze constraints, and generate modification recommendations. This substitution eliminates human error while handling large-scale network complexity.
Solution Approach 2:
The system enables security architectures to be self-analyzed and self-modified through automated constraint satisfaction algorithms that independently evaluate security requirements and generate compliance solutions without continuous human intervention.
2Reliability
If security solutions are implemented on large-scale networks with thousands of computers, then comprehensive security coverage is achieved, but implementation becomes cumbersome and latency increases
Solution Approach 1:
The patent segments large-scale networks into manageable components represented as directed graphs, allowing security analysis and modification to be performed on modular sections. This segmentation enables parallel processing and reduces overall implementation latency while maintaining comprehensive coverage.
Solution Approach 2:
The system dynamically adjusts security parameters and constraints based on network scale and characteristics, optimizing the balance between comprehensive security coverage and implementation speed for different network sizes and configurations.
3Adaptability or versatility
If decentralized rapid updates are executed to maintain current security architectures, then adaptability to changing threats is improved, but accurate schematic tracking becomes impossible
Solution Approach 1:
The patent implements automated feedback mechanisms that continuously monitor and track network architecture changes through algorithmic analysis of network data. This feedback loop maintains accurate schematics despite decentralized updates by automatically detecting and recording configuration changes.
Solution Approach 2:
The system performs preliminary automated analysis of network architectures before changes are made, establishing baseline schematics and predicting potential modification paths. This preliminary action ensures accurate tracking even as decentralized updates occur.
4Adaptability or versatility
If multiple security architecture models are generated to meet different constraints, then solution versatility is improved, but computational complexity increases
Solution Approach 1:
The patent generates security architecture models with varying degrees of completeness based on constraint satisfaction requirements. Rather than exhaustively generating all possible models, the system produces sufficient solutions that meet the specified constraints, reducing computational complexity while maintaining versatility.
Data Source
AI summary
Systems, apparatuses, and methods directed to security enhancement. One or more remote data sources may be accessed to retrieve remote data associated with security for a computing architecture. An input model of an input network security architecture may be identified. One or more user-based constraints may be identified. An output model may be automatically generated based on the input model, the remote data and the one or more user-based constraints. The output model is an output network security architecture that complies with the one or more user-based constraints.


