Dynamic Node Analysis for Network Security Response
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Solution Overview
Problem
Current network security systems lack the ability to dynamically analyze and respond to changes in network security protocols across distributed networks, leading to potential exposure and safety vulnerabilities.
Innovation Solution
A system comprising a node analysis engine that detects changes in network security protocols, identifies adjacent nodes, and automatically implements corresponding changes based on machine learning models to enhance security awareness, creating a ripple effect of security adjustments throughout the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network security systems use static security protocols, then system stability is maintained, but the system cannot dynamically respond to emerging threats and security exposure increases
Solution Approach 1:
The patent implements dynamic security protocols that automatically adjust based on real-time threat detection. The system transitions from static security configurations to dynamic ones by continuously monitoring network traffic, identifying threats, and automatically modifying security parameters across the distributed network, ensuring both stability and adaptability
Solution Approach 2:
The system establishes a feedback loop where security events are detected, analyzed, and used to trigger automatic protocol adjustments. The feedback mechanism propagates security changes from affected nodes to adjacent nodes, creating a responsive security ecosystem that learns and adapts to emerging threats while maintaining overall system reliability
2Measurement precision
If security changes are manually implemented across distributed networks, then control precision is maintained, but response time increases and productivity decreases
Solution Approach 1:
The system enables self-service security management by automatically detecting threats, determining appropriate security protocols, and implementing changes across the network without human intervention. The autonomous system maintains control precision through algorithmic decision-making while achieving rapid response times by eliminating manual processes
Solution Approach 2:
The system pre-configures security protocols and response strategies in advance, storing them in a data repository. When threats are detected, the system rapidly deploys pre-prepared security measures, maintaining precision through predetermined protocols while achieving speed through advance preparation
3Measurement precision
If security monitoring covers the entire distributed network continuously, then detection precision is improved, but system complexity and energy consumption increase
Solution Approach 1:
The system segments the distributed network into monitoring zones and focuses surveillance on nodes and connections most vulnerable to or likely to be affected by detected threats. This segmented approach maintains high detection precision for critical areas while reducing overall system complexity and energy consumption by not uniformly monitoring every node
4Reliability
If security changes are propagated to all nodes in the network, then overall security coverage is improved, but the risk of cascading failures and system instability increases
Solution Approach 1:
The system applies security changes with local quality by propagating them selectively to adjacent nodes based on their specific vulnerability profiles, network position, and threat exposure. This approach ensures comprehensive security coverage where needed while maintaining network stability by avoiding unnecessary changes to nodes already secure or less vulnerable
Data Source
AI summary
Systems, computer program products, and methods are described herein for dynamic node analysis for network security response. The present invention is configured to detect, using a node analysis engine, a change in a network security protocol associated with a first node within a distributed network; extract information associated with the change in the network security protocol associated with the first node; identify one or more adjacent nodes with a first degree of separation from the first node in response to detecting the change; determine a first set of changes to the network security protocols for the one or more adjacent nodes based on at least the information associated with the change in the network security protocol of the first node; and automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes with the first degree of separation from the first node.