Intelligent loudspeaker box data stream processing method and system

Abstract

The invention provides an intelligent sound box data flow processing method and system, and the system comprises a routing module which is used for obtaining a data flow mirror image; a data stream aggregation module used for aggregating the data stream mirror images; a data flow analysis module used for analyzing and recording data flow information according to the data flow information and giving an alarm when the abnormal behaviors occur. The method and the system have universality and transparency, do not need to change any form of hardware and software for intelligent sound box equipment during application, and are suitable for various forms of intelligent sound box products; and on the premise of ensuring the normal function use of the intelligent sound box equipment, mirror imagebypass analysis can be performed on the intelligent sound box equipment data stream to analyze the data stream, the normal function use of the intelligent sound box equipment is transparent, the actual application scene of the intelligent sound box equipment can be fully restored, data stream analysis is performed on the basis, and abnormal behavior alarm is performed.

Description

technical field [0001] The invention relates to the technical field of smart speakers, in particular to a method and system for processing data streams of smart speakers. Background technique [0002] With the development of Internet of Things, artificial intelligence and other technologies, in the context of the development of voice interaction technology, smart speaker products not only connect people and things, but also provide people with entertainment content and life services using sound as a carrier. But at the same time, the privacy protection issue of smart speakers has gradually attracted attention. A variety of smart speaker devices have been pointed out to secretly collect user data or illegally cross-border data. [0003] At present, in order to solve the above-mentioned problems, technical solutions for analyzing data streams of mobile devices are generally used. For example, data flow-based behavior analysis on mobile devices, methods for detecting suspiciou...

AI Technical Summary

Problems solved by technology

[0005] 1. Lack of universality; the existing technology needs to monitor the data flow of the device under test by adding or modifying hardware modules and adding additional software. Due to the different hardware and software systems of the device under test, the existing methods need to The hardware and software environment of different devices are equipped, so it is not universal

[0006] 2. It has a certain impact on the performance of the device under test; the existing technologies are all running on the device under test, which consumes additional resources of the device (such as computing resources, storage resources, etc.), so there is a certain degree of impact on the performance of the device under test Impact

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