A Taxonomy-Based Survey of EM-SCA and Implications for Multi-Robot Systems

Yomna Mokhtar Ibrahim;Shabnam Kasra Kermanshahi;Kathryn Kasmarik;Jiankun Hu
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Abstract

Electromagnetic Side Channel Analysis (EM-SCA) is a major area of interest within the field of cybersecurity. EM-SCA makes use of the electromagnetic radiation that naturally leaks from any device that runs on electricity. Information about the observed device can be gained by gathering and analysing these electromagnetic traces. Numerous studies have demonstrated the applicability of this side channel in various environments for legal and illegal objectives. On the other hand, multi-robot systems, including swarm robotics, have received considerable attention in recent years due to their ability to conduct complex tasks using simple robots cooperating with each other. Although multi-robot and swarm robot systems are likely to be widely used in practical applications in the near future, security concerns in this context have not yet received enough attention. In particular, to the best of our knowledge, EM-SCA threats and benefits have never been thoroughly examined in this context before. In order to spotlight this matter, this work begins with a thorough introduction to EM-SCA and provides a taxonomic structure. Then, guided by this taxonomy, we present a range of EM-SCA scenarios that need to be considered in multi-robot applications.
基于分类学的 EM-SCA 调查及其对多机器人系统的影响
电磁侧通道分析(EM-SCA)是网络安全领域的一个重要关注点。EM-SCA 利用的是任何用电设备自然泄漏的电磁辐射。通过收集和分析这些电磁痕量,可以获得被观测设备的相关信息。大量研究表明,这种侧信道适用于各种环境下的合法和非法目标。另一方面,多机器人系统(包括蜂群机器人技术)近年来受到了广泛关注,因为它们能够利用相互合作的简单机器人执行复杂的任务。虽然在不久的将来,多机器人和蜂群机器人系统可能会被广泛应用于实际领域,但这方面的安全问题还没有得到足够的重视。特别是,据我们所知,EM-SCA 在这方面的威胁和益处从未得到过深入研究。为了突出这一问题,本研究首先全面介绍了 EM-SCA,并提供了一个分类结构。然后,在该分类法的指导下,我们介绍了在多机器人应用中需要考虑的一系列 EM-SCA 场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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