Human Augmentation of UAV Cyber-Attack Detection
Human Augmentation of UAV Cyber-Attack Detection
复制标题
无人机网络攻击检测的人体增强
DOI：
10.1007/978-3-319-91467-1_13
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Cummings, Mary L.
中科院分区：
文献类型：
--
作者：
Zhu, Haibei;Elfar, Mahmoud;Pajic, Miroslav;Wang, Ziyao;Cummings, Mary L.
无人机在民用和军用方面都有广泛的应用。然而，无人机的持续发展一直伴随着安全方面的担忧。无人机导航系统可能容易受到针对其全球定位系统(GPS)的恶意攻击。因此，高效、高成功率的GPS黑客检测是至关重要的。在开发自主黑客检测技术方面做出了重大努力。然而，很少有研究考虑操作员如何为此类系统的安全做出贡献。在本文中，我们提出了一种针对多无人机监控系统的单个操作员的人-自主协作方法，其中利用人的地理位置来帮助检测可能的无人机网络攻击。设计并利用RESCHU-SA实验平台对该方法进行了实验评估。初步结果显示，65%的实验会话对无人机黑客检测的成功率达到80%以上，而只有17%的参与者因黑客检测错误而丢失了一架或多架无人机。这些结果表明，这种方法可以帮助为容易受到网络攻击的人在环自主无人机系统实现更好的安全保障。
Unmanned aerial vehicles (UAVs) have extensive applications in both civilian and military applications. Nevertheless, the continued development of UAVs has been accompanied by security concerns. UAV navigation systems are potentially vulnerable to malicious attacks that target their Global Positioning System (GPS). Thus, efficient GPS hacking detection with high success rate is paramount. Significant effort has been put into developing autonomous hacking detection techniques. However, little research has considered how a human operator can contribute to the security of such systems. In this paper, we propose a human-autonomy collaborative approach for a single operator of multiple-UAV supervisory control systems, where human geo-location is used to help detect possible UAV cyber-attacks. An experiment was designed and conducted using the RESCHU-SA experiment platform to evaluate this approach. The primary results show that 65% of all experiment sessions reached over 80% success rate in UAV hacking detection, while only 17% of participants lost one or more UAVs because of incorrect hacking detections. These results suggest that such an approach could help achieve better security guarantees for human-in-the-loop autonomous UAV systems that are prone to cyber-attacks.
DOI：
10.3390/s16111778
发表时间：
2016-10-25
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Sun J;Li B;Jiang Y;Wen CY
通讯作者：
Wen CY
WiP 摘要：人在环网络物理系统安全感知设计平台
DOI：
--
发表时间：
2017
期刊：
International Conference on Cyber-Physical Systems
影响因子：
--
作者：
Mahmoud Elfar;Haibei Zhu;A. Raghunathan;Y. Y. Tay;Jeffrey Wubbenhorst;M. Cummings;Miroslav Pajic
通讯作者：
Miroslav Pajic