A method and system for tracing the source of streaming data security vulnerabilities in a video conferencing scenario

Abstract

The invention relates to a source tracing method and system for security vulnerabilities of streaming data in a video conferencing scene. The method includes: video conference stream data acquisition: the analyst simulates an attacker using a traffic analysis tool to monitor the video conference; video conference stream data feature extraction: the video conference stream data extracts a feature vector according to a feature value extraction scheme; feature vector group analysis: the The feature vectors are grouped according to certain rules to ensure that the group is mapped to certain data features; mapping vulnerabilities and traceability feedback: locate key features and trace the issues corresponding to the highest feature group of privacy exposure. The invention can realize the traceability of security loopholes and improve the data security performance of the video conference.

Description

technical field [0001] The present invention relates to the field of information security, in particular to a method and system for tracing the source of security vulnerabilities of streaming data in a video conferencing scene. Background technique [0002] The large-scale commercialization of the fifth-generation mobile communication technology not only improves the user experience quality of the mobile Internet, but also provides a technical basis for low-latency, high-capacity business scenarios. With the continuous deepening of 5G applications in various industries, the development of Internet office has also ushered in new opportunities, especially for the important scene of Internet office - the video conferencing industry has brought a great impact. Video conferencing refers to an application system for intelligent real-time communication and sharing and collaborative work that integrates multiple types of data transmission technologies such as multi-person video tran...

AI Technical Summary

Problems solved by technology

At the same time, the transmitted stream data carries a large amount of user behavior information. Once it is deeply excavated, the user's behavior privacy will be leaked. For example, when the user performs video and voice, the size of the generated data packet and the length of time for sending the data packet It is different. If the statistical characteristics of these network traffic are illegally stolen, the network behavior of the participating users will be analyzed, and then the privacy behind the specific behavior can be analyzed, resulting in low data security in the video conference scenario.

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