Hierarchical Clustering Tree for Incident Response
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Solution Overview
Problem
Incident response systems lack the ability to efficiently determine the full scope of malware infections and require tedious manual processes to identify related incidents, with existing clustering methods not providing sufficient granularity for effective response.
Innovation Solution
A computer system that stores incident records and uses tree-based visualizations of hierarchical clustering to present a graphical user interface, allowing users to select nodes for additional information and generate suggested responses based on historical incident data, recommending actions based on frequency or success rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination of related incidents is performed, then analysts can identify incident relationships, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent replaces manual mechanical analysis with automated computational clustering algorithms. The system automatically groups incidents into clusters based on similarity metrics, eliminating the need for analysts to manually determine incident relationships while maintaining high accuracy through algorithmic pattern recognition.
Solution Approach 2:
The patent creates visual copies of incident data in the form of tree-based hierarchical cluster visualizations. These visual representations replicate the complex relationships between incidents in an intuitive format, allowing analysts to quickly comprehend incident scopes without manually analyzing each relationship.
2Productivity
If clustering is applied to group incidents, then incident scope can be determined, but granularity control is insufficient
Solution Approach 1:
The patent implements dynamic clustering granularity through hierarchical tree structures. Analysts can navigate through multiple levels of clustering granularity, from broad parent clusters to detailed child clusters, allowing the system to adapt to different analytical needs. This dynamic adjustment enables efficient overview at high levels and detailed analysis when necessary.
Solution Approach 2:
The patent segments incident clusters into hierarchical levels, dividing large incident sets into manageable parent and child clusters. This segmentation allows analysts to work with appropriate granularity levels, preventing information overload while maintaining the ability to drill down into specific incident groups when detailed analysis is required.
3Loss of information
If all incident details are displayed, then complete information is available, but the interface becomes complex and difficult to navigate
Solution Approach 1:
The patent segments incident information into hierarchical clusters, organizing details into parent and child groups. This segmentation presents information in manageable portions rather than overwhelming analysts with all details simultaneously, while maintaining access to complete information through the hierarchical structure.
Solution Approach 2:
The patent adds a hierarchical dimension to incident display, organizing information vertically through parent-child cluster relationships. This dimensional organization allows analysts to navigate through levels of detail systematically, improving interface navigability while preserving information completeness through the tree-based structure.
Data Source
AI summary
A computer system stores incident records in a database. When a user wants to resolve a particular current incident, the computer system will access the current incident record from an incident queue. The computer system also identifies historical incident records that share one or more attributes with the current incident record. The computer system creates a plurality of clusters from the current incident record and the selected historical incident records. The clusters are then arranged into a hierarchical tree. This hierarchical tree is presented in a graphical user interface. A user can select a node to access additional information for that node. The computer system generates a first suggested response to a particular current incident based on the incident records included in the selected node. The computer system presents the first suggested response to the particular current incident in a graphical user interface.