Network Node Configuration Fingerprinting for Security Threat Detection
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Solution Overview
Problem
Computer networks face challenges in detecting malware and security threats, as traditional methods like network traffic analysis are ineffective for certain types of infections, and active scanning can interfere with node operations, reducing efficiency.
Innovation Solution
The method involves creating configuration fingerprints for each node in a network, which are used for admission control and trending analysis to detect security threats and other trends, allowing for efficient monitoring and verification of node configurations without the need for additional information gathering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If network traffic analysis is used to detect malware, then detection capability is improved for some forms of attack, but detection effectiveness deteriorates for other forms of malware that do not generate distinctive network traffic patterns
Solution Approach 1:
The patent introduces configuration fingerprints as an intermediary mechanism between network nodes and security analysis. These fingerprints capture node configuration states and serve as mediators for detecting malware infections and security threats, enabling detection without relying solely on network traffic patterns.
Solution Approach 2:
The patent replaces traditional network traffic analysis mechanisms with a configuration-based detection system. Instead of analyzing packets and traffic patterns, the system uses configuration fingerprints to identify node states, substituting the detection mechanism to address limitations in detecting certain malware forms.
2Difficulty of detecting and measuring
If active scanning of network nodes is performed to detect security threats, then detection capability is improved, but node operation efficiency deteriorates due to interference with normal operations
Solution Approach 1:
The patent performs preliminary actions by capturing configuration fingerprints at specific events (node joining, configuration changes) rather than continuously scanning. This allows security monitoring to be established in advance without interfering with ongoing node operations, as the fingerprinting occurs at discrete, non-disruptive moments.
Solution Approach 2:
The system employs periodic action by updating configuration fingerprints at specific intervals or events rather than continuous monitoring. This periodic approach maintains detection capability while allowing nodes to operate efficiently between update cycles, avoiding constant interference with normal operations.
3Difficulty of detecting and measuring
If specialized security software is installed on nodes for malware detection, then detection capability is improved, but device complexity and operational interference increase
Solution Approach 1:
The patent extracts the security monitoring function from the network nodes themselves and places it in the network infrastructure. By taking out the detection logic from individual nodes and implementing it centrally through configuration fingerprint analysis, the system reduces node complexity while maintaining detection capability.
Solution Approach 2:
The patent implements a universal configuration fingerprinting mechanism that serves multiple functions: network admission control, security threat detection, and compliance monitoring. This multi-functional approach eliminates the need for separate specialized security software on each node, reducing overall system complexity.
Data Source
AI summary
Various embodiments of a method for detecting a trend in a computer network comprising a plurality of nodes are described. According to one embodiment of the method, network admission control is performed for each node in the network. One or more configuration fingerprints may be created for each node in response to the network admission control for the node, e.g., where the configuration fingerprints for a given node identify selected aspects of the configuration of the node. The method further comprises detecting a trend based on at least a subset of the configuration fingerprints for the nodes. For example, the configuration fingerprints may be analyzed in order to detect trends that indicate security threats.