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Security and Privacy Techniques for the Industrial Internet of Things

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Security and Privacy Trends in the Industrial Internet of Things

Abstract

The wide employment of Internet of Things (IoT) across industrial sectors creates the Industrial Internet of Things (IIoT). In practical applications, however, the IIoT has many attack surfaces. As a result, the IIoT is vulnerable to kinds of attacks, including physical attacks (such as the invasive hardware attacks, side-channel attacks and reverse-engineering attacks), malicious code (such as Trojans, viruses and runtime attacks), and other attacks (such as phishing and sabotage). To ensure the security and privacy of the IIoT, many countermeasures have been proposed, a non-exhaustive list includes authentication techniques, secure routing techniques, intrusion detection techniques, signature techniques, and key establishment techniques. As a fundamental countermeasure, key establishment has been extensively and intensively studied. In this chapter, we will present a survey and taxonomy of the key establishment protocols. Specifically, we will review the conventional key establishment protocols which are designed at higher layers and the physical layer. By reviewing the conventional key establishment protocols, we aim to illustrate the necessity of designing cross-layer key establishment protocols for the IIoT. Then, we will provide the detailed review of cross-layer key establishment protocols. The review illustrates that, the cross-layer design enables the IIoT devices to establish communication keys without the trusted entity and the secret sharing assumption. At the end of this chapter, we will provide a conclusion and point out some future research trends of the IIoT.

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Notes

  1. 1.

    Here \(|\mathbb {D}|\) is the size of the password dictionary \(\mathbb {D}\). Recall that physical layer key extraction algorithms extract secrets bits using the channel’s randomness, and the algorithms are designed without assuming the computationally-bounded adversary. Namely, the physical layer key extraction algorithms achieve information-theoretical secrecy. Thus, in [70], the extracted passwords are independently and uniformly distributed in the password dictionary \(\mathbb {D}\). Furthermore, \(|\mathbb {D}|\ll q\), i.e., \(\mathbb {D}\subset \mathbb {Z}_{q}^{*}\).

  2. 2.

    In practice, at the end of the time slot ST 1, device V  has phase offset ϕ U→V = ϕ 1 + ϕ UV and amplitude deviation A U→V = A + A UV. Both ϕ U→V and A U→V can be used to extract secrets. In [70], only the phase offsets are used to extract secrets in order to simplify the descriptions.

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Authors and Affiliations

  1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China

    Yuexin Zhang

  2. School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia

    Yuexin Zhang

  3. Fujian Provincial Key Laboratory of Network Security and Cryptology, College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China

    Xinyi Huang

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  1. Yuexin Zhang
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  1. Computer Science Department, University of Malaga, Malaga, Spain

    Cristina Alcaraz

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Zhang, Y., Huang, X. (2019). Security and Privacy Techniques for the Industrial Internet of Things. In: Alcaraz, C. (eds) Security and Privacy Trends in the Industrial Internet of Things. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-12330-7_12

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  • DOI: https://doi.org/10.1007/978-3-030-12330-7_12

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