Network Correlator for Cross-Network Traffic Analysis
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Solution Overview
Problem
Current network monitoring and management techniques, such as those using SNMP, are inadequate for effectively correlating and analyzing network traffic data across primary and secondary networks, leading to inefficiencies in understanding network behavior and optimizing operations.
Innovation Solution
A computer-implemented method and system that employs a network correlator to generate and correlate network traffic data sets, connectivity mappings, and utilization statistics, enabling the creation of a relational network mapping that can be displayed on a graphical user interface with configurable parameters, thereby providing a comprehensive view of network traffic and behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional SNMP techniques are used for network monitoring, then network traffic information can be collected from individual devices, but the ability to correlate and analyze network traffic data across multiple networks is insufficient
Solution Approach 1:
The patent combines multiple data sources including network traffic data, connectivity data, and utilization data into a unified correlation engine that processes and analyzes all information together, enabling comprehensive cross-network traffic analysis that SNMP alone cannot provide
Solution Approach 2:
The patent introduces a network correlator as an intermediary component that receives data from multiple networks and devices, correlates this information, and presents unified analytics, thereby bridging the gap between individual device monitoring and comprehensive network analysis
2Loss of information
If detailed network traffic monitoring is implemented across multiple networks, then comprehensive network behavior understanding is achieved, but the complexity of data collection and processing increases
Solution Approach 1:
The patent segments the network monitoring system into distinct functional modules: data collection components that gather traffic information, connectivity components that map network relationships, utilization components that measure resource usage, and a correlation engine that integrates all data, making the complex system manageable and scalable
Solution Approach 2:
The network correlator is designed as a universal platform that can collect, correlate, and analyze multiple types of network data from diverse sources including different network protocols and device types, providing comprehensive monitoring without requiring separate specialized systems for each data type
Data Source
AI summary
Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.