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COMPUTER SECURITY VULNERABILITY AS CONCERNS THE ELECTRICITY DISTRIBUTION GRID

机译:考虑到配电网的计算机安全漏洞

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摘要

The usual way of creating a cyber attack is through implementation of malware via the Internet. Among many types of malware, of special interest are those that enable eavesdropping on the activities within the computer, making it possible to define the software on which the computer is running. An adversary can benefit from this information in a way that is convenient for him or her. Here, we expose a new, entirely different way of eavesdropping and of monitoring the activities within the computer. It is based on measurement of the supply current taken from the electricity distribution grid. Because the computer, as many other electronic loads, is a nonlinear one, abundance of harmonics can be found in that current. Our discovery is the fact that the harmonic content is dependent on the type of activity within the computer, so, by proper analysis of the current waveform, one may recognize what is going on in it. We propose an artificial neural network-based method that unambiguously recognizes which software is running. We also propose a proper measurement procedure based on the technology we described in our earlier articles.
机译:进行网络攻击的通常方法是通过Internet实施恶意软件。在许多类型的恶意软件中,特别令人关注的是那些能够窃听计算机内部活动的恶意软件,这些恶意软件使得可以定义运行计算机的软件。对手可以以对他或她方便的方式从此信息中受益。在这里,我们展示了一种全新的,完全不同的监听和监视计算机内活动的方式。它基于对配电网供电电流的测量。由于计算机和其他许多电子负载一样是非线性的,因此在该电流中会发现大量的谐波。我们的发现是谐波含量取决于计算机中活动的类型,因此,通过对电流波形进行适当的分析,人们可以识别出其中发生了什么。我们提出了一种基于人工神经网络的方法,可以明确识别正在运行的软件。我们还根据之前的文章中介绍的技术提出了一种适当的测量程序。

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