基于嵌入式CSAC时钟的时间曲线的GNSS接收器指纹
Sensors (Basel, Switzerland)
|August 10, 2024
概括
这项研究引入了一种新的方法,用于识别全球导航卫星系统 (GNSS) 接收器,使用来自芯片级原子钟 (CSAC) 的独特硬件噪声. 这种技术可以有效地区分甚至相同的接收器,增强GNSS的安全性.
科学领域:
- 网络安全和信号处理
- 导航和定位系统 导航和定位系统
- 硬件安全和身份验证
背景情况:
- 全球导航卫星系统 (GNSS) 伪造对遥感和导航系统构成严重的安全威胁.
- 现有的硬件指纹检测方法难以区分具有相同规格的GNSS接收器.
- 芯片级原子钟 (CSAC) 是现代GNSS接收器中不可或缺的组成部分.
研究的目的:
- 从理论上证明CSAC具有独特的硬件噪声特征.
- 提出并验证基于CSAC硬件噪声的新型GNSS接收器指纹采集方案.
- 为了提高GNSS接收器的安全性和可靠性,防止伪造攻击.
主要方法:
- 理论分析以证明CSAC中独特的硬件噪声特征.
- 开发一个利用CSAC硬件噪声的指纹算法.
- 在商用GNSS接收器上使用基于神经网络的识别进行实验验证.
主要成果:
- 在商业GNSS接收器相同规格的识别准确度达到了94.60%.
- 在异常检测方面表现出色,证实了CSAC指纹检测方法的稳定性.
- 验证了CSACs产生的硬件噪声的独特性,用于接收器识别.
结论:
- 拟议的CSAC硬件噪声指纹系统为区分相同的GNSS接收器提供了一个可行的解决方案.
- 这种方法提供了一个新的,实时的GNSS安全监控方法.
- 该技术很容易与任何商业GNSS接收器实现,提供广泛的适用性.
相关概念视频
Errors in Global Positioning System
41
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
41
Aliasing
127
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
127
IR Frequency Region: Fingerprint Region
819
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
819
¹³C NMR: ¹H–¹³C Decoupling
1.1K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.1K
Sampling Theorem
316
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
316


