Performance study on IOTA Chrysalis and Coordicide in the Industrial Internet of Things

Rosenberger, Julia; Rauterberg, Felix; Schramm, Dieter

doi:10.1109/gcaiot53516.2021.9692985

Cited by 3 publications

(8 citation statements)

References 21 publications

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“…Although the benefits of DLT for IIoT are highlighted several times in the literature [ 22 , 71 ], DLTs are still not common in today’s factories, as they are often associated with high computational load. Nevertheless, the convergence of DLT and IIoT is to be expected, and research is being conducted on technologies focusing on the constraint resources of IoT and IIoT devices.…”

Section: Comprehensive Overview Over Possible Use Casesmentioning

confidence: 99%

“…Nevertheless, the convergence of DLT and IIoT is to be expected, and research is being conducted on technologies focusing on the constraint resources of IoT and IIoT devices. Especially, DLT IOTA is to be mentioned in this context [ 22 , 71 , 72 ], among others, because of its low computational overhead. IOTA is even in discussion to become a machine-to-machine communication standard, according to [ 73 ].…”

Section: Comprehensive Overview Over Possible Use Casesmentioning

confidence: 99%

“…In addition to the general verification of the DLT network, e.g., in terms of difficulty level of consensus algorithms, computing resources for different node types, etc., further usage is to be demonstrated by means of two examples. Considering the use cases of DLT in IIoT described in [ 22 ], the verification of DLT and SCs depends on realistic plant data: Immutable, long-term storage of selected relevant IIoT data For various scenarios, e.g., legal requirement of proof, the long-term storage and verifiable immutability of selected data are necessary. Different to traditional manual paper-based records, DLT enables a digital and automated record.…”

Section: Comprehensive Overview Over Possible Use Casesmentioning

confidence: 99%

“…For evaluation, the exemplary use case of an RL-based MAS for intelligent resource allocation in IIoT with edge computing is examined. It comprises both the MAS as enabler for DSPSs [ 83 ] on the middleware layer as well as different data stream processing algorithms [ 4 , 22 , 88 ] that belong to the logic layer. While the single approaches have already been evaluated individually, the proposed application of simulation is used for a realistic evaluation of the overall system and the interaction of the single approaches in combination with an industrial plant.…”

Section: Simulation Experimentsmentioning

confidence: 99%

“…Despite their complexity, edge computing systems should be easy to install and to maintain. In the increasingly digitized and anonymous world, the demand for trustworthiness is increasing [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

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Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Rosenberger

Selig

Ristić

et al. 2023

Sensors

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With the convergence of information technology (IT) and operational technology (OT) in Industry 4.0, edge computing is increasingly relevant in the context of the Industrial Internet of Things (IIoT). While the use of simulation is already the state of the art in almost every engineering discipline, e.g., dynamic systems, plant engineering, and logistics, it is less common for edge computing. This work discusses different use cases concerning edge computing in IIoT that can profit from the use of OT simulation methods. In addition to enabling machine learning, the focus of this work is on the virtual commissioning of data stream processing systems. To evaluate the proposed approach, an exemplary application of the middleware layer, i.e., a multi-agent reinforcement learning system for intelligent edge resource allocation, is combined with a physical simulation model of an industrial plant. It confirms the feasibility of the proposed use of simulation for virtual commissioning of an industrial edge computing system using Hardware-in-the-Loop. In summary, edge computing in IIoT is highlighted as a new application area for existing simulation methods from the OT perspective. The benefits in IIoT are exemplified by various use cases for the logic or middleware layer using physical simulation of the target environment. The relevance for real-life IIoT systems is confirmed by an experimental evaluation, and limitations are pointed out.

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Section: Comprehensive Overview Over Possible Use Casesmentioning

confidence: 99%

Section: Comprehensive Overview Over Possible Use Casesmentioning

confidence: 99%

Section: Comprehensive Overview Over Possible Use Casesmentioning

confidence: 99%

Section: Simulation Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Rosenberger

Selig

Ristić

et al. 2023

Sensors

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Immutability and non-repudiation in the exchange of key messages within the EU IoT-Edge-Cloud Continuum

Cuñat,

Reinosa,

Lacalle

et al. 2024

Proceedings of the 19th International Conference on Availability, Reliability and Security

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Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes

et al. 2023

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Attribute spoofing is a major security threat in information exchange solutions based on Ciphertext-Policy Attribute-Based-Encryption (CP-ABE) and distributed CP-ABE (dCP-ABE), which can compromise privacy and security. This threat occurs when an attacker forces the Attribute Authorities to generate keys for attributes they do not possess. This paper analyzes the threat of attribute spoofing and identifies the primary attack vectors, including direct interference with the Attribute Authority and compromise of the shared attribute storage database. The authors propose a solution based on IOTA, a DAG-type DLT, and Interplanetary File System (IPFS) to prevent attribute spoofing. The solution requires distributed attribute storage, validation, and user authentication to counteract the two attack vectors effectively. The proposed solution mitigates the consequences of attribute spoofing, including privilege escalation and reduction, acquisition of private keys, and cutoff of data access. The authors also evaluate their proposal through a value-chain use case and conclude that it effectively mitigates the consequences of attribute spoofing.

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Performance study on IOTA Chrysalis and Coordicide in the Industrial Internet of Things

Cited by 3 publications

References 21 publications

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Immutability and non-repudiation in the exchange of key messages within the EU IoT-Edge-Cloud Continuum

Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes

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