A Lightweight Blockchain Based Framework for Underwater IoT

Stranieri, Andrew; Gondal, Iqbal; Balasurbramanian, Venki

doi:10.3390/electronics8121552

Cited by 48 publications

(36 citation statements)

References 64 publications

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“…Table 1 presents an overview of the simulation parameters used during the performance evaluation of the proposed framework. The parameters were defined according to a literature review of typical devices and networks used in similar application scenarios [ 50 , 51 , 55 ]. In this paper, we used the consortium blockchain for the proposed Health-BlockEdge framework.…”

Section: Resultsmentioning

confidence: 99%

“…However, the iFogSim simulator (used in this paper) does not support the feature of modeling and simulating any particular type of blockchain. Therefore, to analyze the overall network performance of the proposed system, we used the parameters describing blockchain preprocessing power allocation and the number of instructions (MI), handled by each blockchain module, from [ 55 ]. The simulation parameters are illustrated in Table 1 , where blockchain devices with different capacities and capabilities were considered in the simulation.…”

Section: Resultsmentioning

confidence: 99%

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Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications

Ejaz

Kumar

Kovacevic

et al. 2021

Sensors

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The rapid evolution of technology allows the healthcare sector to adopt intelligent, context-aware, secure, and ubiquitous healthcare services. Together with the global trend of an aging population, it has become highly important to propose value-creating, yet cost-efficient digital solutions for healthcare systems. These solutions should provide effective means of healthcare services in both the hospital and home care scenarios. In this paper, we focused on the latter case, where the goal was to provide easy-to-use, reliable, and secure remote monitoring and aid for elderly persons at their home. We proposed a framework to integrate the capabilities of edge computing and blockchain technology to address some of the key requirements of smart remote healthcare systems, such as long operating times, low cost, resilience to network problems, security, and trust in highly dynamic network conditions. In order to assess the feasibility of our approach, we evaluated the performance of our framework in terms of latency, power consumption, network utilization, and computational load, compared to a scenario where no blockchain was used.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications

Ejaz

Kumar

Kovacevic

et al. 2021

Sensors

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“…The presented model implements a smart contract-based hierarchical auction mechanism for solving resource allocation challenges for the IoT devices that are located beyond the coverage of Access Points. A blockchain-based multi-layer hierarchical architecture proposed in [ 48 ] facilitates the monitoring and managing of the Internet of Underwater Things (IoUT) on cloud data. Sensor nodes are clustered and organized based on selected residual energy cluster heads.…”

Section: Related Workmentioning

confidence: 99%

Multi-Layer Blockchain-Based Security Architecture for Internet of Things

Pajooh

Rashid

Alam

et al. 2021

Sensors

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The proliferation of smart devices in the Internet of Things (IoT) networks creates significant security challenges for the communications between such devices. Blockchain is a decentralized and distributed technology that can potentially tackle the security problems within the 5G-enabled IoT networks. This paper proposes a Multi layer Blockchain Security model to protect IoT networks while simplifying the implementation. The concept of clustering is utilized in order to facilitate the multi-layer architecture. The K-unknown clusters are defined within the IoT network by applying techniques that utillize a hybrid Evolutionary Computation Algorithm while using Simulated Annealing and Genetic Algorithms. The chosen cluster heads are responsible for local authentication and authorization. Local private blockchain implementation facilitates communications between the cluster heads and relevant base stations. Such a blockchain enhances credibility assurance and security while also providing a network authentication mechanism. The open-source Hyperledger Fabric Blockchain platform is deployed for the proposed model development. Base stations adopt a global blockchain approach to communicate with each other securely. The simulation results demonstrate that the proposed clustering algorithm performs well when compared to the earlier reported approaches. The proposed lightweight blockchain model is also shown to be better suited to balance network latency and throughput as compared to a traditional global blockchain.

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“…In [28], the authors proposed a multi-layer hierarchical architecture for monitoring and managing underwater IoT (IoUT) on cloud data using blockchain. In the proposed framework, cluster-based sensors were formed and organized depending on the selected residual energy cluster head, and data from nodes were routed to the higher layer.…”

Section: Literature Reviewmentioning

confidence: 99%

EC-ElGamal and Genetic Algorithm-Based Enhancement for Lightweight Scalable Blockchain in IoT Domain

Jayabalasamy

Koppu

2020

IEEE Access

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Security, data privacy and decentralization are significant challenges in the Internet of Things (IoT) domain. These challenges are inherited attribute of another emerging technology, Blockchain. This enforced convergence of IoT and Blockchain, attracting researchers to study on the effective use of Blockchain's strength to solve the challenges of IoT. Rapid IoT adoption requires standardization and mature solution on security, data protection for compliance and performance for commercialization. These demands made a surge in variant blockchain flavours and combinations catering to different problems, and one such is Lightweight Scalable Blockchain (LSB). LSB had considerable caveats that require improvement for better adoption in the IoT domain. This paper focuses on encrypting transaction transmission, improving transaction flow, block validation, hash quality, hash rate and storage cost to improvise security and performance. The experimental evaluation is demonstrated on data from the temperature sensor to showcase superior applicability of the proposed work in the IoT domain. Implementation and result comparison with conventional LSB proves, the following achievements 1) An additional layer of transaction encryption using hybrid Elliptic Curve ElGamal (EC-ElGamal) method increases the security of the transmitted transaction for security enhancement. 2) Obtained 20% reduction in transaction processing time, 22% reduction on block validation processing time, 53% improvement on the hash operation and quality with an overall 7% saving on the storage cost thereby increased the overall performance.

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A Lightweight Blockchain Based Framework for Underwater IoT

Cited by 48 publications

References 64 publications

Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications

Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications

Multi-Layer Blockchain-Based Security Architecture for Internet of Things

EC-ElGamal and Genetic Algorithm-Based Enhancement for Lightweight Scalable Blockchain in IoT Domain

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