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通过电力线分析妥协视频干扰

Analysis of Compromising Video Disturbances through Power Line.

机构信息

Special Telecommunications Service, 060044 Bucharest, Romania.

Telecommunications & Information Technology Faculty, Telecommunications Department, University Politehnica of Bucharest, Electronics, 060042 Bucharest, Romania.

出版信息

Sensors (Basel). 2021 Dec 30;22(1):267. doi: 10.3390/s22010267.

Abstract

In this article, we present results on research performed in the TEMPEST domain, which studies the electromagnetic disturbances generated unintentionally by electronic equipment as well as the methods to protect the information processed by this equipment against these electromagnetic phenomena. The highest vulnerability of information leakage is attributed to the display video signal from the TEMPEST domain perspective. Examples of far-range propagation on a power line of this type of disturbance will be illustrated for the first time. Thus, the examples will highlight the possibility of recovering processed information at distances of 1, 10 and 50 m. There are published articles studying electromagnetic disturbances generated by electronic equipment propagating on power cables of such equipment but no studies on their long-distance propagation. Our research aims to raise awareness in the scientific community and the general public of the existence of such vulnerabilities that can compromise confidential or sensitive information that can make the difference between success or failure in the business sector, for example, or can harm personal privacy, which is also important for us all. Countermeasures to reduce or even eliminate these threats will also be presented based on the analysis of the signal-to noise-ratio recorded during our research.

摘要

本文介绍了 TEMPEST 领域的研究成果,该领域研究电子设备无意产生的电磁干扰,以及保护该设备处理的信息免受这些电磁现象影响的方法。从 TEMPEST 领域的角度来看,信息泄露的最高脆弱性归因于显示视频信号。本文将首次举例说明这种类型的干扰通过电力线进行远程传播的情况。因此,这些示例突出了在 1、10 和 50 米距离处恢复处理信息的可能性。有发表的文章研究了在设备的电力电缆上传播的电子设备产生的电磁干扰,但没有关于其远程传播的研究。我们的研究旨在提高科学界和公众对这些漏洞的认识,这些漏洞可能会危及商业部门成功或失败的关键信息,也可能会损害个人隐私,这对我们所有人来说也很重要。还将根据我们研究期间记录的信噪比分析,提出减少甚至消除这些威胁的对策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b81/8749589/47f07b75f8cc/sensors-22-00267-g001.jpg

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