Data security transmission method and system for embedded AI chip on edge side of unmanned aerial vehicle

Abstract

The invention provides a data security transmission method and system for the embedded AI chip on the edge side of the unmanned aerial vehicle. The first unique identifier corresponding to the embedded AI chip is generated through the embedded AI chip, the first unique identifier is encrypted to generate the identification string, and the encrypted identification string is sent to the server. And the server side obtains the program information of the embedded AI chip, generates a second unique identifier corresponding to the embedded AI chip, and compares the second unique identifier with the first unique identifier, if the comparison result is consistent, verification is passed, and the server side generates a dynamic 3DES encryption key and a dynamic 3DES decryption key, packages the dynamic 3DES encryption key and the dynamic 3DES decryption key into a response message and returns the response message to the embedded AI chip. Therefore, the embedded AI chip can subsequently encrypt or decrypt the data interacted with the server side by using the dynamic 3DES encryption key and the dynamic 3DES decryption key, so that the data interaction security between the unmanned aerial vehicle and the server side is improved.

Description

technical field [0001] The present application relates to the technical field of unmanned aerial vehicles, in particular, to a method and system for secure data transmission of an embedded AI chip on the edge side of an unmanned aerial vehicle. Background technique [0002] With the development of AI technology, the degree of optimization of AI algorithms is increasing day by day, which enables AI algorithms to run in terminal devices with embedded AI chips in the form of edge computing. Taking drones as an example, drones with embedded AI chips can independently perform some data processing tasks without relying on the server, for example, analyze images to perform target tracking, route planning, flight obstacle avoidance, etc. action. [0003] However, the processing capability of the embedded AI chip on the edge side is limited after all. In some cases, the embedded AI still needs to interact with the server for data, such as the upgrade of the AI ​​processing model, th...

AI Technical Summary

Problems solved by technology

[0003] However, the processing capability of the embedded AI chip on the edge side is limited after all. In some cases, the embedded AI still needs to interact with the server for data, such as the upgrade of the AI ​​processing model, the reporting of some data logs, and cannot be processed by edge computing. data upload, etc.

Moreover, the data security protection capability of the embedded AI chip on the edge side is also limited. The embedded AI chip itself or its data interaction process with the server may be illegally invaded, affecting the security of the entire system.

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