Dynamic Network Asset Classification for Threat Adaptation
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Solution Overview
Problem
Current network security systems fail to effectively identify, prevent, and rectify security threats in computing devices due to their inability to dynamically adapt to shifting conditions and compromise vectors within a network environment.
Innovation Solution
A system that dynamically classifies computing assets based on characteristics like geographic location, operating system, and hardware configuration, identifies compromise vectors, and generates remediation steps, including isolation and antivirus updates, to mitigate threats by dynamically updating classifications and implementing recommended actions in response to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional static classification methods are used for network assets, then system complexity is reduced, but the system cannot adapt to changing security threats and environments
Solution Approach 1:
The patent implements dynamic classification of network assets by continuously monitoring asset characteristics, geographic locations, and threat environments. Classification labels are automatically updated in real-time based on changing conditions, allowing the system to adapt to new security threats without manual intervention. This dynamic approach resolves the contradiction by making the system flexible and responsive while managing complexity through automated processes.
Solution Approach 2:
The system incorporates feedback loops that continuously monitor asset states, threat vectors, and classification accuracy. This feedback mechanism enables the system to learn from emerging threats and adjust classifications accordingly, improving adaptability while maintaining manageable complexity through iterative refinement of security policies based on observed conditions.
2Loss of time
If dynamic classification and continuous monitoring are implemented, then security response time is reduced, but computational resources and system complexity increase
Solution Approach 1:
The patent applies partial monitoring and classification actions by focusing computational resources on assets and threat vectors that pose the highest risk. Rather than continuously analyzing all assets equally, the system dynamically prioritizes monitoring based on threat levels and asset criticality, reducing overall computational overhead while maintaining rapid response times for high-priority security events.
Solution Approach 2:
The system changes monitoring parameters dynamically based on threat conditions. During low-threat periods, monitoring intensity is reduced to conserve computational resources. During high-threat periods or when suspicious activity is detected, monitoring frequency and depth increase automatically, enabling rapid response when needed while optimizing resource usage during normal operations.
3Reliability
If comprehensive asset classification and threat analysis are performed, then security coverage is improved, but system complexity and processing requirements increase
Solution Approach 1:
The patent segments the network security system into distinct functional modules: asset classification components, threat vector identification components, classification label assignment components, and remediation recommendation components. Each module handles specific aspects of security analysis independently, improving comprehensive coverage while managing complexity through modular architecture that allows independent development, testing, and maintenance of each security function.
Data Source
AI summary
A system is provided for generating computing network segmentation and isolation schemes using dynamic and shifting classification of assets. In particular, the system may comprise various components that may identify and classify assets (e.g., computing devices) within a network, network topology, and vectors that may compromise one or more assets. The system may further comprise a component for mitigating and rectifying the effects of such vectors. Each asset within the network may be assigned a classification which may be dynamically modified and/or shifted by the system based on changing requirements and/or environments. In this way, the system may provide a more comprehensive way to protect the integrity and security of computing devices and/or electronic data.