VoIP Data Attribute Detection and Disturbance Control
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Solution Overview
Problem
The transmission of non-voice data files over VoIP channels poses security risks due to the lack of effective control mechanisms, which can compromise important data information.
Innovation Solution
A data attribute detection method and system that recognizes media streams over voice channels, determining whether they contain voice or non-voice data, and applies control modes such as disturbance control by adding noise to prevent unauthorized transmission of non-voice data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-voice data files are transmitted over VoIP channels for convenience, then transmission ease is improved, but data security deteriorates due to lack of control mechanisms
Solution Approach 1:
The system performs preliminary voice recognition on media streams before allowing transmission. By pre-identifying whether the media stream contains voice or non-voice data, the system can proactively apply control policies to prevent unauthorized non-voice data transmission, thus maintaining security while allowing legitimate voice communications to proceed conveniently
Solution Approach 2:
The system implements a feedback mechanism where the voice switch receives recognition results from the recognition server and automatically applies control policies. The system monitors transmitted media streams, identifies non-voice data, and responds by applying disturbance control or blocking the transmission, creating a closed-loop control system that maintains security without manual intervention
2Measurement precision
If voice recognition is performed on all media streams to ensure security, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the security control function into separate modular components: a recognition server that performs voice recognition, a voice switch that receives recognition results, and a policy control module that applies control measures. This segmentation allows each component to perform its specific function independently, improving detection accuracy while managing system complexity through modular architecture
Solution Approach 2:
The patent introduces a recognition server as an intermediary component between the media stream source and the voice switch. This intermediary performs the complex voice recognition task, allowing the voice switch to focus on policy enforcement. The intermediary handles the computational complexity of voice recognition, enabling accurate detection without overcomplicating the core switching system
Data Source
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AI summary
A data attribute detection method and system and a data attribute analysis device. The method includes obtaining a media stream transmitted over a voice channel, recognizing the obtained media stream, obtaining a recognition result and determining the data attribute of the media stream currently transmitted over the voice channel in accordance with the recognition result. The data attribute analysis device includes an obtaining unit and a detection unit.