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Defeating drone jamming with hardware sandboxing

机译:通过硬件沙箱战胜无人机干扰

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In this work, we concern ourselves with the security of drone systems under jamming-based attacks. The focus is on design and synthesis structure with the anti-jamming security needs of drone systems. We explore a relatively new concept known as hardware sandboxing, to provide runtime monitoring of boundary signals and isolation through resource virtualization for non-trusted system-on-chip (SoC) components. We utilize Field Programmable Gate Array (FPGA) based development and target embedded Linux for our drone hardware/software system containing the hardware sandbox. We design and implement our working concept on the Digilent Zybo FPGA, which uses the Xilinx Zynq system. Our design is validated via simulation-based tests to mimic jamming attacks and standalone, stationary tests with commercial transmitter and receiver equipment. In both cases, we are successful in detecting and isolating unwanted behavior.
机译:在这项工作中,我们关注无人机系统在基于干扰的攻击下的安全性。重点在于具有无人机系统抗干扰安全需求的设计和综合结构。我们探索了一个相对较新的概念,即硬件沙箱,以通过对不受信任的片上系统(SoC)组件进行资源虚拟化来提供边界信号的运行时监视和隔离。我们利用基于现场可编程门阵列(FPGA)的开发技术,并将目标嵌入式Linux用于包含硬件沙箱的无人机硬件/软件系统。我们在使用Xilinx Zynq系统的Digilent Zybo FPGA上设计和实现我们的工作理念。我们的设计通过基于仿真的模拟干扰测试以及商用发射机和接收机设备的独立固定测试进行了验证。在这两种情况下,我们都能成功检测并隔离有害行为。

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