Adoption of Blockchain With 5G Networks for Industrial IoT: Recent Advances, Challenges, and Potential Solutions

Kaur, Manpreet; Khan, Mohammad Zubair; Gupta, Shikha; Alsaeedi, Abdullah

doi:10.1109/access.2021.3138754

Cited by 20 publications

(11 citation statements)

References 48 publications

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“…C. Ma et al offer a special in-network computation-oriented node placement (INP) algorithm for efficient distributed data processing in the IIoT [17]. M. Kaur et al [18] investigate the use of blockchain and 5G technologies to provide flexibility and reliability in the management of large-scale IIoT systems.…”

Section: Related Workmentioning

confidence: 99%

“…It is also reasonable to use 5G technology, which allows organizing reliable and efficient wireless communication in a decentralized industrial system. Such modern technologies in combination with the IIoT system allow creating modern intelligent production [18,19]. Due to the development of distributed information systems and the need to ensure data security, blockchain technology is used.…”

Section: Features Of Iiot and Smart Grid Systemsmentioning

confidence: 99%

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Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems

et al. 2023

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The digitalization of production in smart grids entails challenges related to data collection, coordination, privacy protection, and anomaly detection. Machine learning techniques offer effective tools for processing Big Data, but identifying critical system states amidst vast amounts of data remains a challenge. To expedite data analysis, preprocessing through machine learning algorithms becomes essential. This paper introduces the advanced FedSVD algorithm, utilizing Singular Value Decomposition (SVD), which efficiently decomposes large datasets, establishes relationships, and identifies irrelevant data. The algorithm operates in federated machine learning systems, enabling local data processing on private devices while sharing only results with the global learning model. This approach enhances information processing confidentiality and facilitates the exchange of anomaly detection outcomes among network devices. The results of the study demonstrate that the modified FedSVD processing is 5 ms faster on average in comparison to the non-modified one. The proposed FedSVD algorithm calculates anomaly detection with higher accuracy by an average of 1–3% compared to the non-modified FedSVD and SVD ones. The advanced FedSVD algorithm proves to be a decentralized, confidential, and efficient solution for anomaly detection in smart grid systems.

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Section: Related Workmentioning

confidence: 99%

Section: Features Of Iiot and Smart Grid Systemsmentioning

confidence: 99%

Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems

et al. 2023

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“…The cross-chain platform solution allows different nodes to interconnect with each other, for example, smart production units, manufacturing systems, supply chain management, and monitoring ecosystems. However, by this adaptation, the solution can provide a more efficient and effective industrial environment that supports and manage a secure service deliverance of industrial things-enabled transactions in a better manner in the distributed network infrastructure [92]. A single node of this designed platform, and various distinct nodes of other chains direct interact, communicate, exchange, and manage transactions in a secure preservation channel, and conduct meaningful nodes activities in the industrial environment.…”

Section: A Cross-chaining Platform Between Iot-devicesmentioning

confidence: 99%

“…In this context, the IIoT ecosystem analysis every perspective of industrial things involved in the domain. There is a various range of data generation and processing that contributes to a lack of standardization in every channel of IoT because no standard protocols are established and yet not to be presented [92,93]. However, the process layer of IIoT from data generation, capturing, and examination to documenting individual records are less reliable.…”

Section: B Lack Of Industrial Standardizationmentioning

confidence: 99%

Internet of Things (IoT) Security With Blockchain Technology: A State-of-the-Art Review

et al. 2022

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With the rapid enhancement in the design and development of the Internet of Things creates a new research interest in the adaptation in industrial domains. It is due to the impact of distributed emerging technology and topology of industrial Internet of Things and the security-related resource constraints of industrial 5.0. This conducts new paradigm along with critical challenges to the existing information preservation, node transactions and communication, transmission, trust and privacy, and security protection related problems. These critical aspects pose serious limitations and issues for the industry to provide industrial data integrity, information exchange reliability, provenance, and trustworthiness for the overall activities and service delivery prospects. In addition, the intersection of blockchain and industrial IoT has gained more consideration and research interest. However, there is an emerging limitation between the inadequate performance of industrial IoT and connected nodes, and the high resource requirement of permissioned private blockchain ledger has not yet been tackled with the complete solution. Due to the introductions of NuCypher Re-Encryption infrastructure, hashing tree and allocation, and deployment of blockchain proof-of-work required more computational power as well. This paper is divided into three different folds; first, we studied various related literature of blockchain-enabling industrial Internet of Things and its critical implementation challenging aspects along with the solution. Secondly, we proposed a blockchain hyperledger sawtooth-enabled framework. This framework provides a secure and trusted execution environment, in which service delivery mechanisms and protocols are designed with an acknowledgment, including the immutable ledger storage security, along with the peer-topeer network on-chain and off-chain communication of industrial activities. Thirdly, we design pseudochain codes and consensus protocols to provide smooth industrial node streamline transactions and broadcast content. The proposed multiple proof-of-work investigated and simulated using Hyperledger Sawtooth-enabled docker for testing to exchange information between connected devices of industrial Internet of Things within the limited usage of resource constraints.

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“…Hazra et al in [ 20 ] also review reference architectures and present a state-of-the-art survey on standards, protocols, and technologies addressing the interoperability issues in IIoT. The researchers in [ 21 , 22 , 23 , 24 , 25 , 26 ] review the proposed IIoT architectures, provide insights on how they are addressing the challenges, and highlight the features of some emerging technologies. The related works in the literature lack in classifying the relationship between the main IIoT requirements and the emerging technologies and providing transitional information on why there is even a need for the proposed architectures in the presence of reference architectures.…”

Section: Introductionmentioning

confidence: 99%

Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review

Mirani

Velasco-Hernandez

Awasthi

et al. 2022

Sensors

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The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. However, as the industrial world is currently in its initial stage of adopting full-stack development solutions with IIoT, there is a need to address the arising challenges. In this regard, researchers have proposed IIoT architectures based on different architectural layers and emerging technologies for the end-to-end integration of IIoT systems. In this paper, we review and compare three widely accepted IIoT reference architectures and present a state-of-the-art review of conceptual and experimental IIoT architectures from the literature. We identified scalability, interoperability, security, privacy, reliability, and low latency as the main IIoT architectural requirements and detailed how the current architectures address these challenges by using emerging technologies such as edge/fog computing, blockchain, SDN, 5G, Machine Learning, and Wireless Sensor Networks (WSN). Finally, we discuss the relation between the current challenges and emergent technologies and present some opportunities and directions for future research work.

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Adoption of Blockchain With 5G Networks for Industrial IoT: Recent Advances, Challenges, and Potential Solutions

Cited by 20 publications

References 48 publications

Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems

Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems

Internet of Things (IoT) Security With Blockchain Technology: A State-of-the-Art Review

Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review

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