Virtual Host Grouping for Cyber Risk Analysis
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Solution Overview
Problem
In large systems, detailed risk analysis for cyberattacks is hindered by immense calculation workloads, and consolidating hosts for analysis may overlook terminal-specific factors, leading to incorrect security measure planning.
Innovation Solution
A risk analysis apparatus that groups hosts into virtual units based on measure-related information to generate virtual analysis elements and models, reducing calculation costs while considering specific security measures for each group.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed risk analysis is conducted on each host individually, then measurement precision of security risks is improved, but calculation cost increases enormously
Solution Approach 1:
The patent merges multiple hosts with similar configurations into a single representative host for risk analysis. This consolidation reduces the number of analysis targets from dozens or hundreds of individual hosts to a manageable number of representative hosts, thereby dramatically reducing calculation cost while preserving essential risk analysis capabilities.
Solution Approach 2:
The patent creates virtual copies of host groups rather than analyzing each physical host individually. By generating representative hosts that replicate the security characteristics of multiple physical hosts, the system achieves comprehensive risk coverage without the computational burden of analyzing every single host in detail.
2Loss of energy
If multiple hosts are consolidated into a single unit for analysis, then calculation cost is reduced, but reliability of security measure planning deteriorates due to loss of terminal-specific factors
Solution Approach 1:
The patent applies local quality by creating different representative hosts for different host groups based on their specific configurations and security characteristics. Each representative host preserves the unique security properties of its parent group, ensuring that terminal-specific factors are not lost but rather appropriately represented at the group level.
Solution Approach 2:
The patent transforms the analysis from individual host level to group level by changing the fundamental parameter of analysis granularity. By adjusting this parameter, the system achieves a balance between computational feasibility and analysis accuracy, allowing comprehensive security measure planning without overwhelming calculation requirements.
3Device complexity
If representative hosts are generated for grouped hosts, then device complexity is reduced, but measurement precision may be compromised if terminal-specific factors are overlooked
Solution Approach 1:
The patent ensures that each representative host maintains the specific security characteristics of its parent host group. By preserving local quality in the form of group-specific security properties, the system avoids the pitfall of oversimplification while still achieving reduced complexity through aggregation.
Solution Approach 2:
The representative hosts serve multiple functions: they represent entire host groups for computational efficiency, preserve group-specific security characteristics for accuracy, and enable comprehensive security measure planning. This multi-functionality resolves the contradiction between simplicity and precision.
Data Source
AI summary
Grouping means groups a plurality of hosts included in a system to be analyzed into a plurality of groups each including one or more hosts. The grouping means uses measure-related information including information related to measures planned for the system to be analyzed to group the plurality of hosts into the plurality of groups. Virtual analysis element generation means generates a virtual analysis element for each of the plurality of groups. Virtual model generation means generates a virtual model used for risk analysis that includes the virtual analysis elements generated by the virtual analysis element generation means. Analysis means analyzes the risks included in the system to be analyzed using the virtual model generated by the virtual model generation means.