3D Network Security Alert Visualization
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Solution Overview
Problem
Network security analysts face difficulties in identifying patterns of network security activity due to the overwhelming amount of data from multiple alerting tools, making it challenging to quickly determine the state of a monitored network and respond to potential threats.
Innovation Solution
A three-dimensional visualization method that maps network security alerts into a 3D space, using representations of universes, galaxies, and solar systems, allowing analysts to position alerts based on characteristics such as source and destination addresses, protocols, and categories, enhancing the intuitive understanding and detection of anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network security analysts monitor network traffic using traditional alerting tools, then they can identify unauthorized or malicious activity, but they face difficulties in identifying patterns due to the overwhelming amount of data
Solution Approach 1:
The patent transforms flat, two-dimensional alert data into a three-dimensional visual representation where alerts are positioned in 3D space based on multiple characteristics simultaneously (source IP, destination IP, protocol, alert count). This dimensional transformation allows analysts to perceive patterns and relationships that are invisible in traditional flat displays, directly resolving the contradiction by enabling pattern identification despite overwhelming data volume.
Solution Approach 2:
The patent segments the overwhelming data into discrete visual elements (alerts represented as spheres or points) that can be individually positioned and perceived in 3D space. Each alert becomes a separate visual object with position, size, and color encoding different characteristics, allowing the human visual system to process the information efficiently despite the large quantity of data.
2Reliability
If network security systems record and report all unwanted system usage, then comprehensive security monitoring is achieved, but analysts cannot quickly determine the state of the monitored network
Solution Approach 1:
The patent uses color encoding to represent different characteristics of alerts (severity, type, source, destination). This visual encoding allows analysts to quickly categorize and understand the state of the network at a glance, transforming comprehensive data into immediately interpretable visual information that maintains monitoring completeness while dramatically reducing analysis time.
Solution Approach 2:
By positioning alerts in three-dimensional space with coordinates derived from alert characteristics, the system creates a spatial map of network security events. Analysts can quickly assess the overall state of the network by observing the distribution, density, and positioning of alerts in 3D space, enabling rapid situation awareness without sacrificing monitoring comprehensiveness.
3Loss of information
If traditional alerting tools are used to display network security data, then all alert information can be shown, but the interface lacks intuitive understanding and makes anomaly detection difficult
Solution Approach 1:
The patent creates a multi-functional visual representation where each alert visualization simultaneously encodes multiple characteristics (source IP, destination IP, protocol, alert count, severity) through different visual properties (position, size, color, shape). This universal visual language allows a single display element to convey comprehensive information while maintaining intuitive understandability, resolving the contradiction between information completeness and ease of interpretation.
Data Source
AI summary
A method and apparatus can be configured to perform the steps of displaying, on a display, a first visual representation of volume in three-dimensional space. The method can also display, on the display, a visual representation of a network security alert. The network security alert can correspond to a notification of a network attack, a network intrusion, or an unwanted activity. The representation of the network security alert can be positioned within the first visual representation of volume. The position of the representation of the network security alert within the first visual representation of volume reflects at least one characteristic of the network security alert.