智慧城市物理层通信安全:挑战与威胁识别

M. Simić, M. Stanković, V. Orlic
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引用次数: 0

摘要

通信技术将在现代智慧城市中发挥巨大作用,为大量数据收集、大量服务和技术管理和控制提供手段。然而,随着底层通信系统的复杂性增加,安全挑战和风险也在增加,这引起了人们对智慧城市技术的普遍关注。在传统的无线和有线网络中实施的标准通信安全方法通常只关注特定的协议和通信方案,因此,从复杂性和多样性的角度来看,这些方法并不适合智慧城市。本文讨论了智慧城市物理层通信安全面临的挑战和风险。我们认为,除了更高层次的信息保护外,一个适当的入侵检测和威胁/攻击分类和识别框架是至关重要的。为此,我们提出了基于应用自动调制分类(AMC)系统的方法。我们概述了适当的AMC方案,并讨论了它们在应对安全挑战方面的特性、优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physical Layer Communication Security in Smart Cities: Challenges and Threats Identification
Communication technologies will have tremendous presence in modern smart cities, providing means for massive data collection, plethora of services and technical management and control. However, as the complexity of the underlying communication systems increases, so do the security challenges and risks, which raises concerns about the smart city technology in general. Standard communication security approaches implemented in conventional wireless and wired networks are typically focused only on specific protocols and communication schemes, and, hence, are not well grounded for smart cities from the complexity and diversity point of view. In this paper, we discuss physical layer communication security challenges and risks in smart cities. We argue that, besides higher-level information protection, an appropriate framework for intrusion detection and threat/attack classification and identification is of utmost importance. For this purpose, we propose to use methods based on applying automatic modulation classification (AMC) systems. We provide overview of the appropriate AMC schemes, and discuss their properties, advantages and disadvantages in tackling the security challenges.
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