An efficient UAV hijacking detection method using onboard inertial measurement unit
With the fast growth of civil drones, their security problems meet significant challenges. A commercial drone may be hijacked by a GPS-spoofing attack for illegal activities, such as terrorist attacks. The target of this article is to develop a technique that only uses onboard gyroscopes to determin...
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sg-ntu-dr.10356-1447582020-11-23T08:06:11Z An efficient UAV hijacking detection method using onboard inertial measurement unit Feng, Zhiwei Guan, Nan Lv, Mingsong Liu, Weichen Deng, Qingxu Liu, Xue Yi, Wang School of Computer Science and Engineering Engineering::Computer science and engineering Detection Methods Drones With the fast growth of civil drones, their security problems meet significant challenges. A commercial drone may be hijacked by a GPS-spoofing attack for illegal activities, such as terrorist attacks. The target of this article is to develop a technique that only uses onboard gyroscopes to determine whether a drone has been hijacked. Ideally, GPS data and the angular velocities measured by gyroscopes can be used to estimate the acceleration of a drone, which can be further compared with the measurement of the accelerometer to detect whether a drone has been hijacked. However, the detection results may not always be accurate due to some calculation and measurement errors, especially when no hijacking occurs in curve trajectory situations. To overcome this, in this article, we propose a novel and simple method to detect hijacking only based on gyroscopes’ measurements and GPS data, without using any accelerometer in the detection procedure. The computational complexity of our method is very low, which is suitable to be implemented in the drones with micro-controllers. On the other hand, the proposed method does not rely on any accelerometer to detect attacks, which means it receives less information in the detection procedure and may reduce the results accuracy in some special situations. While the previous method can compensate for this flaw, the high detection results also can be guaranteed by using the above two methods. Experiments with a quad-rotor drone are conducted to show the effectiveness of the proposed method and the combination method. 2020-11-23T08:06:11Z 2020-11-23T08:06:11Z 2018 Journal Article Feng, Z., Guan, N., Lv, M., Liu, W., Deng, Q., Liu, X., & Yi, W. (2018). An efficient UAV hijacking detection method using onboard inertial measurement unit. ACM Transactions on Embedded Computing Systems, 17(6), 96-. doi:10.1145/3289390 1539-9087 https://hdl.handle.net/10356/144758 10.1145/3289390 6 17 en ACM Transactions on Embedded Computing Systems © 2018 Association for Computing Machinery. All rights reserved. |
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Engineering::Computer science and engineering Detection Methods Drones Feng, Zhiwei Guan, Nan Lv, Mingsong Liu, Weichen Deng, Qingxu Liu, Xue Yi, Wang An efficient UAV hijacking detection method using onboard inertial measurement unit |
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With the fast growth of civil drones, their security problems meet significant challenges. A commercial drone may be hijacked by a GPS-spoofing attack for illegal activities, such as terrorist attacks. The target of this article is to develop a technique that only uses onboard gyroscopes to determine whether a drone has been hijacked.
Ideally, GPS data and the angular velocities measured by gyroscopes can be used to estimate the acceleration of a drone, which can be further compared with the measurement of the accelerometer to detect whether a drone has been hijacked. However, the detection results may not always be accurate due to some calculation and measurement errors, especially when no hijacking occurs in curve trajectory situations. To overcome this, in this article, we propose a novel and simple method to detect hijacking only based on gyroscopes’ measurements and GPS data, without using any accelerometer in the detection procedure. The computational complexity of our method is very low, which is suitable to be implemented in the drones with micro-controllers. On the other hand, the proposed method does not rely on any accelerometer to detect attacks, which means it receives less information in the detection procedure and may reduce the results accuracy in some special situations. While the previous method can compensate for this flaw, the high detection results also can be guaranteed by using the above two methods. Experiments with a quad-rotor drone are conducted to show the effectiveness of the proposed method and the combination method. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Feng, Zhiwei Guan, Nan Lv, Mingsong Liu, Weichen Deng, Qingxu Liu, Xue Yi, Wang |
format |
Article |
author |
Feng, Zhiwei Guan, Nan Lv, Mingsong Liu, Weichen Deng, Qingxu Liu, Xue Yi, Wang |
author_sort |
Feng, Zhiwei |
title |
An efficient UAV hijacking detection method using onboard inertial measurement unit |
title_short |
An efficient UAV hijacking detection method using onboard inertial measurement unit |
title_full |
An efficient UAV hijacking detection method using onboard inertial measurement unit |
title_fullStr |
An efficient UAV hijacking detection method using onboard inertial measurement unit |
title_full_unstemmed |
An efficient UAV hijacking detection method using onboard inertial measurement unit |
title_sort |
efficient uav hijacking detection method using onboard inertial measurement unit |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/144758 |
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1688654648184930304 |