Hypertree Visualization for Cybersecurity Incident Correlation

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Solution Overview

Problem

Current incident management systems face challenges in efficiently visualizing and navigating cybersecurity incidents and their elements, leading to prolonged investigation and response times due to the complexity of interrelationships and the need for focused analysis.

Innovation Solution

A correlation finder and artifacts correlator are introduced, utilizing a hypertree display with interactive navigation aids that allow users to selectively eliminate or restore nodes and edges, enabling flexible visualization and navigation of cybersecurity incidents and elements, with features like alikeness ratio selection and zooming to focus on relevant information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If a comprehensive incident management system is used to track all cybersecurity incidents and elements, then complete information management is achieved, but navigation and visualization become complex and time-consuming

Engineering Contradiction:
Improveinformation completenessVSAvoidinvestigation time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system segments the hypertree into collapsible nodes representing different incident elements (artifacts, hosts, processes). Users can expand or collapse nodes to focus on specific portions of the incident data, enabling comprehensive information management while reducing visualization complexity through hierarchical organization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system transforms flat incident data into a multi-dimensional hypertree structure with hierarchical levels. This dimensional transformation allows users to navigate through multiple layers of incident elements, achieving complete information coverage while providing structured navigation that reduces time to locate specific incident details.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of information

If all incident elements and artifacts are displayed simultaneously, then complete visualization is achieved, but user focus and analysis efficiency decrease

Engineering Contradiction:
Improvevisualization completenessVSAvoidanalysis efficiency
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The hypertree structure is dynamically adjustable, allowing users to expand or collapse nodes based on their analytical needs. This dynamic visualization enables complete information display when needed while providing the ability to focus on specific incident elements by collapsing unrelated nodes, thereby maintaining both completeness and analysis efficiency.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

Different portions of the hypertree can be expanded or collapsed independently, allowing users to apply different levels of detail to different incident elements. This local quality adjustment enables users to focus computational and visual resources on the most relevant incident artifacts while maintaining the option to access complete information when necessary.

Inventive Principle:
Principle #3Local quality

3Measurement precision

If detailed navigation options are provided for incident elements, then precise analysis is enabled, but system complexity and learning curve increase

Engineering Contradiction:
Improveanalysis precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments navigation into hierarchical levels within the hypertree structure. Users navigate from high-level incident nodes down to specific artifact nodes through a structured hierarchy, achieving precise analysis without requiring users to comprehend all navigation options simultaneously. This segmented approach reduces perceived complexity while maintaining analytical precision.

Inventive Principle:
Principle #1Segmentation

4Reliability

If the system displays all relationships between incident elements, then complete correlation is achieved, but visualization clutter and response time increase

Engineering Contradiction:
Improvecorrelation accuracyVSAvoidresponse time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The hypertree dynamically adjusts its displayed content based on user interactions. Users can expand nodes to reveal complete correlations when needed for accurate analysis, or collapse nodes to reduce visualization clutter and accelerate response time for routine investigations. This dynamic behavior maintains correlation accuracy while adapting to different response time requirements.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS11089063B2Method and system for automated cybersecurity incident and artifact visualization and correlation for security operation centers and computer emergency response teams
Publication Date: 2021.08.10 SUMO LOGIC INC
  • US11089063B2 patent drawing
  • US11089063B2 patent drawing
  • US11089063B2 patent drawing

AI summary

A method and system is provided for visualizing and navigating cybersecurity information. A hypertree is displayed on a display device of a computerized system. The hypertree includes a plurality of nodes linked by edges, one or more of the nodes representing cybersecurity incidents, and one or more of the nodes representing elements or artifacts of cybersecurity incidents, the edges representing a specific relationship between the nodes linked by the edges. The computerized system displays an interactive navigation aid to enable a user to navigate the hypertree, and receives a navigation command from the user through the interactive navigation aid. The computerized system modifies the displayed hypertree in response to the navigation command. The navigation command comprises selective elimination or restoration of edges or nodes on the hypertree so as to enable the user to readily visualize interrelationships between the displayed nodes that are significant to a cybersecurity investigation or response.