Device Fingerprinting for Cyber-Physical Systems: A Survey

被引:9
|
作者
Kumar, Vijay [1 ]
Paul, Kolin [2 ]
机构
[1] Indian Inst Technol Delhi, Amar Nath & Shashi Khosla Sch Informat Technol, New Delhi 110016, India
[2] Indian Inst Technol Delhi, Dept Comp Sci & Engn, New Delhi 110016, India
关键词
Device Fingerprint/Fingerprinting (DFP); device characteristic; identification and authentication; Internet of Things (IoT); security and privacy; distributed systems; condition monitoring; Cyber Physical System (CPS); NEURAL-NETWORKS; SECURITY; IDENTIFICATION; IOT; ARCHITECTURE; INDUSTRIAL;
D O I
10.1145/3584944
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页数:41
相关论文
共 50 条
  • [41] Secure State Estimation and Control of Cyber-Physical Systems: A Survey
    Ding, Derui
    Han, Qing-Long
    Ge, Xiaohua
    Wang, Jun
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (01): : 176 - 190
  • [42] Resource-efficient cyber-physical systems design: A survey
    Li, Zhao
    Huang, Chengcheng
    Dong, Xiaoxiao
    Ren, Chongguang
    MICROPROCESSORS AND MICROSYSTEMS, 2020, 77
  • [43] Software-defined networking in cyber-physical systems: A survey
    Molina, Elias
    Jacob, Eduardo
    COMPUTERS & ELECTRICAL ENGINEERING, 2018, 66 : 407 - 419
  • [44] Big Data Meet Cyber-Physical Systems: A Panoramic Survey
    Atat, Rachad
    Liu, Lingjia
    Wu, Jinsong
    Li, Guangyu
    Ye, Chunxuan
    Yi, Yang
    IEEE ACCESS, 2018, 6 : 73603 - 73636
  • [45] A Comprehensive Survey on Cyber-Physical Systems Towards Healthcare 4.0
    Gupta A.
    Singh A.
    SN Computer Science, 4 (2)
  • [46] Q-Learning for Securing Cyber-Physical Systems : A survey
    Alabadi, Montdher
    Albayrak, Zafer
    2ND INTERNATIONAL CONGRESS ON HUMAN-COMPUTER INTERACTION, OPTIMIZATION AND ROBOTIC APPLICATIONS (HORA 2020), 2020, : 545 - 557
  • [47] A Survey on Platoon-Based Vehicular Cyber-Physical Systems
    Jia, Dongyao
    Lu, Kejie
    Wang, Jianping
    Zhang, Xiang
    Shen, Xuemin
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 18 (01): : 263 - 284
  • [48] Cyber-Physical Systems Attestation
    Valente, Junia
    Barreto, Carlos
    Cardenas, Alvaro A.
    2014 IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (IEEE DCOSS 2014), 2014, : 354 - 357
  • [49] Cyber-physical systems for SmartGrid
    Dillon, Tharam S.
    Chang, Elizabeth
    Wu, Chen
    IECON Proceedings (Industrial Electronics Conference), 2010, : 13 - 14
  • [50] EDA for Cyber-Physical Systems
    Chakraborty, Samarjit
    2017 7TH INTERNATIONAL SYMPOSIUM ON EMBEDDED COMPUTING AND SYSTEM DESIGN (ISED), 2017,