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Device Fingerprinting for Cyber-Physical Systems: A Survey
ACM Computing Surveys ( IF 16.6 ) Pub Date : 2023-07-17 , DOI: 10.1145/3584944
Vijay Kumar 1 , Kolin Paul 2
Affiliation  

The continued growth of the cyber-physical system (CPS) and Internet of Things technologies raises device security and monitoring concerns. For device identification, authentication, conditioning, and security, device fingerprint/fingerprinting (DFP) is increasingly used. However, finding the correct DFP features and sources to establish a unique and stable fingerprint is challenging. We present a state-of-the-art survey of DFP techniques for CPS device applications. We investigate the numerous DFP features, their origins, characteristics, and applications. Additionally, we discuss the DFP characteristics and their sources in detail, taking into account the physical contexts of various entities (i.e., machines, sensors, networks, and computational devices), as well as their software and applications for the CPS. We believe that this article will provide researchers and developers with insights into the DFP and its applications, sources, aggregation methods, and factors affecting its use in CPS domains.



中文翻译:

网络物理系统的设备指纹识别:一项调查

网络物理系统 (CPS) 和物联网技术的持续增长引发了设备安全和监控问题。对于设备识别、身份验证、调节和安全,设备指纹/指纹识别 (DFP) 的使用越来越多。然而,找到正确的 DFP 功能和来源来建立独特且稳定的指纹是一项挑战。我们对 CPS 设备应用程序的 DFP 技术进行了最新的调查。我们研究了众多 DFP 功能、它们的起源、特征和应用。此外,我们还详细讨论了 DFP 特征及其来源,同时考虑了各种实体(即机器、传感器、网络和计算设备)的物理环境及其 CPS 的软件和应用程序。

更新日期:2023-07-17
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