A method for safe transmission of UAV data

Abstract

The present invention relates to a method for safe data transmission of unmanned aerial vehicles, comprising: constructing a UAV network terminal data leakage risk index system; the UAV network terminal data leakage risk index system includes a plurality of first-level risk factors, each first-level risk factor Including multiple second-level risk factors; establish a judgment level for the degree of loss of the perception task; judge the loss of each second-level risk factor through users with different weights according to the judgment level; determine the occurrence probability of a single risk factor for each first-level risk factor ; Determine the risk value of data leakage to the task; preprocess the original data set collected by each UAV to obtain the centralized data set of each UAV; set the differential privacy budget according to the risk value of data leakage to the task; Centralized Datasets and Differential Privacy Budgets for Drones, Determining Desensitized Datasets for Drone Networks. The invention improves the security of data transmission.

Description

technical field [0001] The invention relates to the technical field of digital safe transmission, in particular to a method for safe data transmission of an unmanned aerial vehicle. Background technique [0002] With the popularization of edge computing devices, the rapid development of communication technology and the maturity of satellite positioning systems, the drone industry has entered a stage of rapid development, which brings new ideas to the problem of data collection in complex environments. Due to the advantages of low cost, strong mobility and fast and flexible deployment of UAVs, UAVs have gradually deepened in industrial applications, such as film and television shooting, power inspection, meteorological monitoring, forest fire detection, agricultural monitoring and Drones can be found in fields such as traffic control. However, due to (1) the limited computing power of UAVs is difficult to effectively run privacy protection methods; (2) the data collected by ...

AI Technical Summary

Problems solved by technology

However, due to (1) the limited computing power of UAVs is difficult to effectively run the privacy protection method; (2) the data collected by UAVs contains huge value, which attracts criminals to swarm, bringing such as GPS Attacks, communication link attacks and sensor attacks, etc., which pose serious hidden dangers to the privacy and security of UAVs

In addition, since the current data collection mode used by the drone network is mainly three levels: drone-central anonymous server or trusted third party (referred to as server)-data processing platform (referred to as platform), the server and platform, and even communication Whether the link is secure or not will become the bottleneck of UAV network security

However, the communication security guarantee protocol of the 5G network used in UAV data transmission has safety defects such as the transmission of important control signaling in plain text and the parallel operation of multiple protocol instances. In the implementation, there are implicit trust, GUTI (Globally Unique Temporary UE Identity, the world's only temporary UE identity) reuse, authentication results can be identified and other security flaws or vulnerabilities

However, under the limited computing power of drones, it is difficult to ensure that sensitive data, such as data source identity, data attributes, data content, and data structure relationships, will not be intercepted by third parties.

Therefore, it is urgent to solve the problem of safe transmission of UAV data when the communication party and the communication link are untrustworthy

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