Trusted Platform Modules in Cyber-Physical Systems: On the Interference Between Security and Dependability

Hoeller, Andrea; Toegl, Ronald

doi:10.1109/eurospw.2018.00026

Cited by 11 publications

(2 citation statements)

References 19 publications

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“…References [17], [95], and [97] all identify the need for remote attestation, in order to increase the system's resilience against intruders. Especially in contexts where parts of an overall system are deployed in hostile environments, where it is important that the correct functioning of the software is continuously verified.…”

Section: B Authenticationmentioning

confidence: 99%

A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities

Tange

Donno

Fafoutis

et al. 2020

IEEE Commun. Surv. Tutorials

272

112

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A key application of the Internet of Things (IoT) paradigm lies within industrial contexts. Indeed, the emerging Industrial Internet of Things (IIoT), commonly referred to as Industry 4.0, promises to revolutionize production and manufacturing through the use of large numbers of networked embedded sensing devices, and the combination of emerging computing technologies, such as Fog/Cloud Computing and Artificial Intelligence. The IIoT is characterized by an increased degree of inter-connectivity, which not only creates opportunities for the industries that adopt it, but also for cyber-criminals. Indeed, IoT security currently represents one of the major obstacles that prevent the widespread adoption of IIoT technology. Unsurprisingly, such concerns led to an exponential growth of published research over the last few years. To get an overview of the field, we deem it important to systematically survey the academic literature so far, and distill from it various security requirements as well as their popularity. This paper consists of two contributions: our primary contribution is a systematic review of the literature over the period 2011-2019 on IIoT Security, focusing in particular on the security requirements of the IIoT. Our secondary contribution is a reflection on how the relatively new paradigm of Fog computing can be leveraged to address these requirements, and thus improve the security of the IIoT.

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Section: B Authenticationmentioning

confidence: 99%

A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities

Tange

Donno

Fafoutis

et al. 2020

IEEE Commun. Surv. Tutorials

272

112

View full text Add to dashboard Cite

show abstract

“…This is another area where PhySec, and in particular the field of Physically Unclonable Functions (PUFs), provides a suitable solution which offers benefits compared to conventional hardware security mechanisms such as Trusted Platform Modules (TPMs) (Höller & Toegl, 2018), certificates (McLuskie & Belleken, 2018) or asymmetric cryptography (Schneier, 2015). In particular, due to the inherent availability and thus low acquisition cost -for example, Random Access Memory (RAM) is already built into almost all electronic devices -, and time until the primitives are available -a few nanoseconds -, PUFs are more than just an alternative to be considered.…”

Section: Hardware-based Physically Unclonable Functionsmentioning

confidence: 99%

Physical Layer Security: About Humans, Machines and the Transmission Channel

Lipps

Schotten

2022

eccws

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In an increasingly interconnected and globalized world in which the volume but also the confidentiality of transmitted content is becoming ever more important, trust, confidence and trustworthiness are of fundamental importance. Particularly in human societies, this trust is established, sustained and strengthened by personal relationships and experiences. But, in a globally connected world with Cyber-Physical Production Systems (CPPS), Industrial Internet of Things (IIoT) and Digital Twins (DTs), these personal relationships do not longer exist. (Remote) access to systems is possible from anywhere on the globe. However, this implies that there have to be technical solutions to detect, identify and acknowledge entities -people and machines- in the networks and thus to establish an initial level of trust. Especially since the proliferation of appropriate use-cases, Physical Layer Security (PhySec) is becoming increasingly popular in the scientific community. Using systems' intrinsic information for security applications provides a lightweight but secure alternative to traditional computationally intensive and complex cryptography. PhySec is therefore not only suitable for the IIoT and the multitude of resource-limited devices and sensors, it also opens up alternatives in terms of scalability and efficiency. Moreover, it provides security aspects regarding the entropy H and Perfect Forward Secrecy (PFS). Therefore, this work provides insight into three major branches of PhySec: i) Human - Physically Unclonable Functions (PUFs) ii) silicon/electrical - PUFs, and iii) Channel-PUFs. Based on the PUF operating principle, the silicon derivatives consider the electrical properties of semiconductors. Individual and uninfluenceable deviations during the manufacturing process result in component-specific behavior, which is described in particular for Static- and Dynamic Random Access Memory (S-/DRAM). Following this PUF principle, human characteristics -biological, physiological and behavioral features-, are used to recognize and authenticate them. With respect to the wireless channel, the characteristic properties of electromagnetic wave propagation and the influences on the wireless channel -diffraction, reflection, refraction and scattering-, are used to achieve symmetric encryption of the channel. In addition to the "conventional" wireless PhySec, especially the development of the Sixth Generation (6G) Wireless Systems, opens up a wide range of possibilities in terms of PhySec, for example in relation to Visible Light Communication (VLC), Reconfigurable Intelligent Surfaces (RIS) and in general the application of frequencies in the (sub)THz range. Thus, the work provides an overview of PhySec fields of application in all areas of the IIoT: in terms of humans, machines, and the transmission channel.

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A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

Atharvan

Krishnamoorthy

Dua

et al. 2021

Int J Communication

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Summary The evolution of Internet of Things (IoT) has led to the development of Industrial Internet of Things (IIoT). IIoT is one the widely applied areas to facilitate people in the manufacturing world. The adoption of IIoT automates sensing, capturing, communicating, and processing in real time. To understand how rapidly IoT and IIoT are growing, this article examines the emergence of 5G‐enabled IIoT, current research trends in IIoT, key milestones achieved in IIoT, and IoT applications specific to 5G‐enabled IIoT. The paper presents the state‐of‐the‐art in networking layered framework of IIoT and comparing relationships of technologies of cloud computing as well as edge computing paradigms. We also explored the type of security attacks and their preventive measures in an IIoT‐driven 5G technology. We have also highlighted the revolution of IIoT‐driven 5G framework which satisfies the demands of IIoT applications.

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Trusted Platform Modules in Cyber-Physical Systems: On the Interference Between Security and Dependability

Cited by 11 publications

References 19 publications

A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities

A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities

Physical Layer Security: About Humans, Machines and the Transmission Channel

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

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