声学传感器用于侧信道辅助工业入侵检测的可行性探讨

S. D. Antón, A. Lohfink, H. Schotten
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引用次数: 3

摘要

第四次工业革命导致在工业环境中越来越多地使用嵌入式计算和相互通信。在减少搭建、运维的成本和工作量,增加运营或上市的时间和效率的同时,也增加了企业的攻击面。在过去十年中,工业企业已成为网络罪犯的目标,原因是间谍活动,但也有政治动机。臭名昭著的攻击活动以及在毫无准备的状态下攻击行业的容易获得的恶意软件创造了一个巨大的威胁景观。由于工业系统通常运行数十年,并且在安全性方面很难或不可能升级,因此为了创建安全参数,需要与传统兼容的工业安全解决方案。在工业中,一种可行的方法是实施和使用侧信道传感器。通过不同渠道将来自不同来源的传感器数据结合起来,可以增强对安全状态的了解。在这项工作中,从概念上讨论了包含侧通道传感器的实验性工业装置的数据集,并得出了见解。
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Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay
The fourth industrial revolution leads to an increased use of embedded computation and intercommunication in an industrial environment. While reducing cost and effort for set up, operation and maintenance, and increasing the time to operation or market respectively as well as the efficiency, this also increases the attack surface of enterprises. Industrial enterprises have become targets of cyber criminals in the last decade, reasons being espionage but also politically motivated. Infamous attack campaigns as well as easily available malware that hits industry in an unprepared state create a large threat landscape. As industrial systems often operate for many decades and are difficult or impossible to upgrade in terms of security, legacy-compatible industrial security solutions are necessary in order to create a security parameter. One plausible approach in industry is the implementation and employment of side-channel sensors. Combining readily available sensor data from different sources via different channels can provide an enhanced insight about the security state. In this work, a data set of an experimental industrial set up containing side channel sensors is discussed conceptually and insights are derived.
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