Network Traffic Diagnostics for Deployed Devices
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Solution Overview
Problem
Networked devices lack effective diagnostic tools for monitoring and maintenance, leading to inefficiencies and high costs due to the need for custom software for each device type, and service providers often lack visibility into diverse data packet transmissions across multiple devices.
Innovation Solution
A diagnostic entity that monitors network traffic to create profiles of device behavior and activity, identifies outliers, and performs corrective actions, while predicting network usage to suggest revisions to service plans, using a diagnostic application that aggregates data and analyzes packet information without decrypting proprietary payload data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If custom software is created for each networked device type to enable monitoring and diagnostics, then device-specific diagnostic capability is improved, but development cost and time consumption increase
Solution Approach 1:
The patent applies universality by creating a single diagnostic entity that can monitor and diagnose multiple types of networked devices through a common platform. Instead of developing custom software for each device type, the diagnostic entity uses unified protocols to collect, aggregate, and analyze network traffic data from diverse devices, thereby reducing development complexity while maintaining comprehensive diagnostic capability across different device types
2Loss of information
If service providers monitor network traffic from multiple devices, then network visibility is improved, but ability to decipher diverse data packet transmissions deteriorates
Solution Approach 1:
The patent applies extraction by separating the diagnostic function from the data payload. The diagnostic entity extracts only the necessary network traffic metadata (such as packet size, timing, protocol type, and flow characteristics) for analysis, while leaving the proprietary payload data intact and undeciphered. This allows service providers to gain comprehensive network visibility and identify diagnostic patterns without needing to decrypt or understand the specific content of encrypted or proprietary data transmissions
3Productivity
If automated network communications are implemented without user intervention, then operational efficiency is improved, but diagnostic control and user awareness deteriorate
Solution Approach 1:
The patent applies feedback by implementing an automated diagnostic entity that continuously monitors network traffic and provides ongoing diagnostic information to users. The system automatically detects anomalies, generates diagnostic reports, and notifies users of potential issues without requiring manual intervention for routine monitoring. This maintains operational efficiency through automation while preserving user awareness through targeted feedback mechanisms that alert users to diagnostic findings and system status
Data Source
AI summary
This disclosure is directed to performing diagnostics on deployed devices that use network connectivity to transmit data in response to at least partially automated processes. In some embodiments, a diagnostic entity may monitor network traffic from deployed devices. The diagnostic entity may aggregate at least some of the network traffic to create profiles for at least some of the deployed devices and/or for some activities. The diagnostic entity may then identify outlier devices/activities from observed network behavior of deployed devices and/or activities based on the accessed network traffic and the profiles. The diagnostic entity may generate reports and/or perform or cause some corrective operations in response to identification of the outliers. In various embodiments, the diagnostic entity may predict network usage information for a group of devices and may possibly suggest revisions to service plans and/or usage of the deployed devices based at least partly on the predicted usage.