Network Traffic-Based Service Identification Across Multiple Networks
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Solution Overview
Problem
Existing systems lack the ability to intelligently identify and categorize computing services within multiple networks, leading to inefficiencies in service provisioning and quality of service/experience for users.
Innovation Solution
A system comprising a backend server and network devices with agents that analyze network traffic, compare it to a service identification list, and provide intelligent identification of services and categories, updating the list with delta domain names and parameters, and adjusting network services accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual service identification methods are used, then system complexity is reduced, but service identification accuracy and real-time capability deteriorate
Solution Approach 1:
The patent introduces an intermediary service identification system comprising a service identification module and a service information database. This intermediary layer automatically matches network traffic patterns against known service signatures, providing accurate real-time service identification without requiring complex manual analysis of each network flow. The intermediary system handles the complexity internally while presenting simplified service-level information to network management functions.
Solution Approach 2:
The service identification system operates autonomously by automatically capturing network traffic, comparing it against service patterns in the database, and generating service identification results without continuous human intervention. The system self-updates service information through automatic discovery and learning mechanisms, reducing the need for manual configuration while maintaining high identification accuracy.
2Adaptability or versatility
If comprehensive service monitoring is implemented across multiple networks, then service categorization capability is improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-establishes a comprehensive service information database containing patterns, signatures, and characteristics of numerous services across different networks and categories. By preparing this reference data in advance, the system can perform rapid matching operations during actual service monitoring, avoiding the need for complex real-time analysis of every network packet while maintaining versatile categorization capability.
Solution Approach 2:
The service identification system divides the monitoring task into separate functional modules: traffic capture, pattern matching, service classification, and result reporting. Each module handles a specific aspect of service identification independently, allowing parallel processing of multiple network streams simultaneously. This segmentation reduces processing time by avoiding sequential analysis while maintaining comprehensive multi-network monitoring capability.
Data Source
AI summary
A system and accompanying methods for providing intelligent identification of computing services and categories of services in use within a plurality of computing networks. The system analyzes network traffic associated with services requested by computing devices interacting with a network device, such as a network device of an internet service provider. The system compares the network traffic to information from a service identification list to determine a type of the service and/or a category of the service. The system provides an identification of the services and/or categories of the service to a service provider associated with the network device. Services tailored for the service and/or category of service can be provided to the computing devices, such as via the network device associated with the service provider.