Intelligent equipment machine learning safety monitoring system based on user behavior

Abstract

The invention discloses an intelligent equipment machine learning safety monitoring system based on a user behavior. The system is characterized by comprising a first-level machine learning model oriented to the third party intelligent equipment user behavior data and a second-level user behavior machine learning model of an intelligent equipment side based on a MPU memory protection mechanism; the first-level learning model performing data cleaning on two types of data on the basis of two types of data, namely, the data of the same intelligent equipment type and the behavior data of the same individual user, by means of the user behavior data of a third party cloud platform, determining the data and the correlation needed to use by the intelligent equipment, and determining a subject of the intelligent equipment user behavior according to the type of the intelligent equipment; the second-level user behavior machine learning model of the intelligent equipment side based on the MPU memory protection mechanism, the intelligent equipment side firstly using the memory protection mechanism of the MPU to divide safety protection regions on a safety monitoring model obtained in the first-level machine learning model, and finally enabling a monitoring system to effectively protect the security of the intelligent equipment and the user.

Description

technical field [0001] The invention belongs to the technical field of intelligent equipment security in information security, and in particular relates to a machine learning security monitoring system for intelligent equipment based on user behavior. Background technique [0002] With the vigorous development of the Internet of Things, the convenience of smart devices to people's lives has attracted strong attention from both industry and academia. The development of intelligent hardware has led to the intelligentization of a large number of traditional electronic products. In the past two years, a large number of intelligent hardware products have flooded into the market. At present, researchers have invested a huge amount of money and manpower in the architecture, communication protocol and specific implementation of smart devices, and the devices have involved every aspect of people's lives. Smart devices are the integration of the traditional electronics industry and t...

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Problems solved by technology

[0003] For the smart device protection method in the published patent (a smart home Internet of Things security protection method and system, CN201410465799.1), there is a lack of consideration for manufacturers who do not have the ability to build a secure cloud platform and communication protocol, and in the communication

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