Method, device and equipment for storing driving data

Abstract

The application discloses a storage method, device and equipment for driving data. A specific embodiment of the storage method of the driving data includes: analyzing the importance of the received driving data to determine the storage level of the driving data; obtaining the corresponding key and encryption algorithm according to the storage level of the driving data; The driving data is encrypted using a key and an encryption algorithm; the encrypted driving data is stored in a storage area corresponding to the storage level of the driving data. This embodiment can improve the security of driving data by encrypting and storing data in different levels, effectively prevent important driving data from being illegally read or maliciously tampered with, and can improve the storage efficiency of driving data at the same time.

Description

Technical field[0001]This application relates to the field of computer technology, in particular to the field of data storage technology, and in particular to storage methods, devices and equipment for driving data.Background technique[0002]With the rapid development of Internet technology and artificial intelligence technology, driverless cars, as a new type of transportation, are expected to be more and more commonly used. At the same time, with the development of diversified design of functions and interfaces of driverless cars, The safety of driverless cars is also increasingly threatened.[0003]The driverless black box is a device used to record driving data of driverless cars. The recorded data can be used as a basis for driving behavior analysis and accident analysis. Developers can use data acquisition instructions to retrieve the data in the black box. Existing unmanned vehicle black boxes usually store all data in chronological order. When maliciously attacked, some importa...

AI Technical Summary

Problems solved by technology

Existing black boxes of unmanned vehicles usually store all data sequentially in chronological order. In the event of a malicious attack, some important data in the black boxes of unmanned vehicles may be lost or tampered with, thus making it impossible to provide information for subsequent driving behavior analysis and accident analysis. accurate data support

Therefore, the safety protection performance of the black box of unmanned vehicles needs to be improved

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