Towards flexible and secure end-to-end communication in industry 4.0

Maksuti, Silia; Bicaku, Ani; Tauber, Markus; Palkovits-Rauter, Silke; Haas, Sarah; Delsing, Jerker

doi:10.1109/indin.2017.8104888

Cited by 14 publications

(8 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is thus clear that security should be considered at every step of the development lifecycle of a system, and in [234], Eckhart et al propose 14 security activities spread across multiple phases in the development process that have shown to be effective for cyber-physical systems. Maksuti et al [42] take a more flexible stance than Shaabany, observing that security and business process performance will always come at the cost of each other. They state that one possible solution is to create a self-adapting system that can flexibly provide end-to-end security.…”

Section: Models and Methodologiesmentioning

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

297

112

View full text Add to dashboard Cite

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.

show abstract

Section: Models and Methodologiesmentioning

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

297

112

View full text Add to dashboard Cite

show abstract

“…Meta-models were developed as Eclipse plugins. A metamodel for a systematic analysis of CPS threat modeling was developed in [91] using MetaGME, while [89] developed a metamodel using ADOxx and UML and they used it for the description of an end-to-end communication use case. A meta-model for the development of a smart cyber-physical environment was presented in [37].…”

Section: System Designmentioning

confidence: 99%

A Systematic Literature Review on Model-driven Engineering for Cyber-Physical Systems

Mohamed¹,

Kardaş²,

Challenger³

2021

Preprint

View full text Add to dashboard Cite

This technical report presents a Systematic Literature Review (SLR) study that focuses on identifying and classifying the recent research practices pertaining to CPS development through MDE approaches. The study evaluates 140 research papers published during 2010-2018. Accordingly, a comprehensive analysis of various MDE approaches used in the development life-cycle of CPS is presented. Furthermore, the study identifies the research gaps and areas that need more investigation. The contribution helps researchers and practitioners to get an overall understanding of the research trends and existing challenges for further research/development.

show abstract

“…To show the functionality of the MSCV framework, we consider an IIoT use case, shown in Figure 7. 50 The MSCV framework will be used to (i) check the compliance of each component based on the use case requirements and a set of metrics extracted from international standards and (ii) to provide the overall compliance of the system based on equation (2).…”

Section: Iiot Use Casementioning

confidence: 99%

Security standard compliance and continuous verification for Industrial Internet of Things

Bicaku

Tauber

Delsing

2020

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

Due to globalization and digitalization of industrial systems, standard compliance is gaining more attention. In order to stay competitive and remain in business, different sectors within industry are required to comply with multiple regulations. Compliance aims to fulfill regulations by including all measures imposed by laws and standards. Every device, application, or service implements several technologies at many levels, and standards support interoperability across them. They help to create global markets for industries and enable networked development in order to be successful and sustainable. This work highlights the importance of standard compliance and continuous verification in industrial Internet of Things and implements an automatic monitoring and standard compliance verification framework. In this work, we focus on security, safety, and organizational aspects of industrial Internet of Things. We identify a number of standards and best practice guidelines, which are used to extract security, safety, and organizational measurable indicator points. In addition, a metric model is provided that forms the basis for the necessary information needed for compliance verification, including requirements, standards, and metrics. Also, we present the prototype of the monitoring and standard compliance verification framework used to show the security compliance of an industrial Internet of Things use case.

show abstract

Towards flexible and secure end-to-end communication in industry 4.0

Cited by 14 publications

References 14 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

A Systematic Literature Review on Model-driven Engineering for Cyber-Physical Systems

Security standard compliance and continuous verification for Industrial Internet of Things

Contact Info

Product

Resources

About