A Detection Method of Desired Trajectory Signal Attack Based on Multi-feature Fusion

Abstract

The present invention relates to an attack detection method of expected trajectory signal based on multi-feature fusion. Aiming at the attack detection problem that the expected trajectory signal sent by the ground control station to the UAV is injected with false information during the transmission process, firstly, the design contains the nominal signal The virtual UAV system model; secondly, design a nominal signal observer to estimate the nominal signal in the virtual UAV system; thirdly, calculate the expected trajectory signal power received by the UAV receiving end, and compare it with the power Threshold comparison; finally, according to the power of the received expected trajectory signal and the nominal signal estimation error, an attack detection mechanism for the expected trajectory signal based on multi-feature fusion is designed. The invention has the characteristics of high attack detection accuracy and low false alarm rate, and is suitable for the attack detection problem of the attacked UAV system in the process of transmitting the expected trajectory signal through the direct sequence spread spectrum communication technology.

Description

technical field [0001] The invention relates to an attack detection method of an expected trajectory signal based on multi-feature fusion, which can realize the attack detection that the expected trajectory signal is attacked by false information injection during the transmission process. Background technique [0002] In recent years, as drones have played an increasingly important role in the military and civilian fields, attacks against drone systems have also occurred frequently. Due to the open communication mechanism of the UAV system, the UAV is vulnerable to malicious attacks during the communication process with the ground control station, satellite navigation system and other cooperative UAVs. Attacks on UAV communication are generally divided into two types: one is attacks on information availability, such as denial of service attacks; the other is attacks on information integrity, such as spoofing attacks, replay attacks, etc. When responding to an attack, the fi...

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Problems solved by technology

However, the above patents all use the residual between the predicted value and the real value as the criterion for attack detection, but factors other than GPS spoofing attacks will also lead to an increase in the error between the predicted value and the real value

At the same time, the above-mentioned patents are all aimed at detecting the GPS spoofing attack of the UAV system, without considering the situation that the expected trajectory signal is attacked during the transmission process

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