暴风雨
计算机科学
数字信号处理
软件
插件
软件无线电
开源
Java
通用软件无线电外围设备
操作系统
嵌入式系统
计算机硬件
电信
计算机安全
作者
Federico Larroca,P. Bertrand,Felipe Carrau,Victoria Severi
标识
DOI:10.1109/asianhost56390.2022.10022149
摘要
Like all time-varying voltage and current, a video interface connecting a PC to its monitor emits electromagnetic waves. The attack commonly known as TEMPEST (or Van Eck Phreaking) consists in receiving this signal and inferring the image being displayed on the monitor; that is to say, pointing an antenna to a PC and spying the monitor. This is a particularly interesting application for Software Defined Radio (SDR), as it requires modeling the signal and implementing a custom receiver. However, and although the first public demonstrations date back to the mid-80s by Wim Van Eck, no open-source implementation was available until Martin Marinov's TempestSDR was published in 2014. TempestSDR consists of a module written in C that takes care of the signal processing, plug-ins for various models of SDR hardware, and a Java-based GUI. This results in a multi-platform software that, although functional, it is difficult to extend or tweak. For instance, new plug-ins have to be written for new SDR hardware, or including filters or other DSP blocks in the signal's flow is not straightforward at all. To remedy this we developed gr-tempest, an open-source GNU Radio-based implementation of TEMPEST (available at https://github.com/git-artes/gr-tempest). This is an on-going project whose objective is to enable simpler experimentation by taking advantage of GNU Radio's functionalities and support. We describe the mathematical principles behind the TEMPEST attack and present how grtempest works. Furthermore, we show several real-world examples including both VGA and HDMI, and the fundamental differences between both types of signals. Finally, some of the advantages of using GNU Radio's framework are showcased by introducing modifications to the DSP chain that allows significant improvements of the resulting image with respect to the original method used in TempestSDR.
科研通智能强力驱动
Strongly Powered by AbleSci AI