Medical Device Network Zoning for Intuitive Threat Detection
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Solution Overview
Problem
Existing network visualization techniques for medical device networks fail to incorporate the characteristics of nodes, making it difficult to analyze and visually represent large numbers of generated nodes and nodes with varying characteristics, especially during ransomware or malware attacks, and do not provide intuitive detection of security threats.
Innovation Solution
A method and apparatus for visualizing a medical device network by dividing nodes into server, medical device, white, and gray zones, representing links between them, and using different colors to indicate security attacks, with detailed information display for detected nodes and links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If nodes are displayed without zone division in traditional network visualization, then the visualization is simple, but it becomes difficult to analyze and understand network structures and node characteristics when large numbers of nodes are generated during attacks
Solution Approach 1:
The patent divides the network visualization into distinct zones (white zone for registered nodes, gray zone for unregistered nodes, red zone for attacked nodes) and categorizes nodes by type (medical devices, servers, workstations). This segmentation allows analysts to quickly understand network structure and identify attack patterns without being overwhelmed by the complexity of individual node details.
2Difficulty of detecting and measuring
If all nodes are displayed with the same visual treatment, then the visualization is simple to create, but it becomes difficult to detect security threats and identify attack sources during ransomware or malware attacks
Solution Approach 1:
The patent applies different visual properties (colors, icons, labels) to different zones and node types based on their security relevance. For example, attacked nodes are highlighted in red, medical devices have specific icons, and zone boundaries are clearly marked. This local differentiation enables rapid threat detection while maintaining an organized overall structure that doesn't overwhelm the analyst.
3Adaptability or versatility
If traditional network visualization is used without incorporating node characteristics, then the system is simple to implement, but it cannot effectively represent the characteristics of medical device networks or provide intuitive security threat detection
Solution Approach 1:
The patent incorporates medical device network characteristics by assigning specific visual properties to medical devices (distinct icons, coloring), organizing them in dedicated zones, and highlighting their communication patterns. This adaptation allows the system to effectively represent medical device network topologies and security threats without requiring complete redesign of the visualization framework.
Data Source
AI summary
Disclosed herein is a method for visualizing a medical device network and a security threat. The method includes representing nodes in zones that are divided into a server zone including nodes corresponding to server devices, a medical device zone including nodes corresponding to medical devices, a white zone including registered nodes excluding the server devices and the medical devices, and a gray zone including nodes included in none of the above-mentioned zones, representing links between the nodes, and representing a node and a link in which a security attack is detected using a different color when the security attack is detected in the node.