Anomaly Detection for Video Transmission Traffic
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Video transmission devices that do not support information collection protocols pose challenges in detecting abnormalities, and manual setting of expected traffic amounts for each port is impractical due to frequent configuration changes in IP packet transfer devices.
Innovation Solution
An abnormality detection device that automatically calculates expected traffic amounts by aggregating flow information and comparing it with measured traffic, using a flow table generation circuit, connection table generation circuit, and comparison circuit to determine deviations and detect abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual setting of expected traffic amounts for each port is used, then abnormality detection accuracy is improved, but operation complexity increases and cannot keep up with frequent configuration changes
Solution Approach 1:
The system automatically collects flow information from transmission and reception devices, generates flow tables, and calculates expected traffic amounts without requiring manual configuration. The abnormality detection device performs self-service by autonomously adapting to configuration changes through automatic information collection and calculation, eliminating the need for manual setting while maintaining detection accuracy
Solution Approach 2:
The system continuously collects flow information from devices, compares actual traffic with calculated expected traffic, and uses this feedback to detect abnormalities. The automatic calculation of expected traffic amounts based on real-time flow information creates a feedback loop that adapts to configuration changes, maintaining detection accuracy without manual intervention
2Loss of information
If information collection protocols like SNMP or SYSLOG are used, then traffic monitoring capability is improved, but device compatibility deteriorates due to lack of protocol support in some video transmission devices
Solution Approach 1:
The abnormality detection device acts as an intermediary that collects flow information directly from transmission and reception devices using their native communication capabilities, bypassing the need for SNMP or SYSLOG protocols. This intermediary approach enables traffic monitoring in devices that do not support standard information collection protocols
Solution Approach 2:
The system uses universal flow information collection methods that work across different device types and protocols. By collecting transmission source information, destination information, and flow identifiers from various devices through compatible means, the system achieves universal traffic monitoring capability across devices with different protocol support
3Measurement precision
If flow information is collected from all transmission and reception devices, then automatic calculation accuracy is improved, but information collection complexity increases
Solution Approach 1:
The system segments information collection by device type, creating separate flow tables for transmission devices and reception devices. This segmentation allows the system to collect and process information from multiple devices in an organized manner, improving calculation accuracy while managing collection complexity through structured data organization
Solution Approach 2:
The system merges flow information from multiple transmission and reception devices into unified flow tables, aggregating data by transmission source address, transmission source port, destination address, and destination port. This merging process enables automatic calculation of expected traffic amounts with high accuracy while simplifying the overall information collection process through consolidated data structures
Data Source
AI summary
An abnormality detection device according to the present invention is a video transmission state abnormality detection device connected via a network to a plurality of video transmission devices, an IP packet transfer device on the transmission side, an IP packet transfer device on the reception side, and a plurality of video reception devices. The video transmission state abnormality detection device prepares a transmission/reception IP flow table by aggregating IP flow information for the devices, detects an abnormality in transmission on the basis of the transmission/reception IP flow table, and specifies the location of the abnormality. The abnormality detection device according to the present invention can automatically detect the amount of traffic and specify which part of a transmission path an abnormality is caused on, without the need for advance setting. Therefore, video or sound traffic can be monitored efficiently.