DiBLIoT: A Distributed Blacklisting Protocol for IoT Device Classification Using the Hashgraph Consensus Algorithm

Tarlan, Ozan; Şafak, Ilgın; Kalkan, Kübra

doi:10.1109/icoin53446.2022.9687198

Cited by 3 publications

(1 citation statement)

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“…These properties of Hashgraph are used in many IoT-based applications. In [ 100 ], the authors used the Hashgraph consensus algorithm for the classification of IoT devices using Hedra [ 101 ] (the Hashgraph consensus as a cloud service). In [ 102 ], it presented a high-performance decentralized architecture for many IIoT use cases.…”

Section: Consensus Ontologymentioning

confidence: 99%

A Survey and Ontology of Blockchain Consensus Algorithms for Resource-Constrained IoT Systems

Khan

Hartog

2022

Sensors

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The basic properties of blockchain, such as decentralization, security, and immutability, show promising potential for IoT applications. The main feature—decentralization of blockchain technology—depends on the consensus. However, consensus algorithms are mostly designed to work in extensive computational and communication environments for network security and immutability, which is not desirable for resource-restricted IoT applications. Many solutions are proposed to address this issue with modified consensus algorithms based on the legacy consensus, such as the PoW, PoS, and BFT, and new non-linear data structures, such as DAG. A systematic classification and analysis of various techniques in the field will be beneficial for both researchers and industrial practitioners. Most existing relevant surveys provide classifications intuitively based on the domain knowledge, which are infeasible to reveal the intrinsic and complicated relationships among the relevant basic concepts and techniques. In this paper, a powerful tool of systematic knowledge classification and explanation is introduced to structure the survey on blockchain consensus algorithms for resource-constrained IoT systems. More specifically, an ontology was developed for a consensus algorithm apropos of IoT adaptability. The developed ontology is subdivided into two parts—CONB and CONIoT—representing the classification of generic consensus algorithms and the ones that are particularly proposed for IoT, respectively. Guided by this ontology, an in depth discussion and analysis are provided on the major consensus algorithms and their IoT compliance based on design and implementation targets. Open research challenges and future research directions are provided.

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Section: Consensus Ontologymentioning

confidence: 99%

A Survey and Ontology of Blockchain Consensus Algorithms for Resource-Constrained IoT Systems

Khan

Hartog

2022

Sensors

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An Architecture for Enabling Collective Intelligence in IoT Networks

Frantti,

Şafak

2023

Lecture Notes in Computer Science

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Trust in Edge-based Internet of Things Architectures: State of the Art and Research Challenges

2023

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The Internet of Things (IoT) aims to enable a scenario where smart objects, inserted into information networks, supply smart services for human beings. The introduction of edge computing in IoT can reduce the decision-making latency, save bandwidth resources, and expand the cloud services to be allocated at the network’s edge. However, edge-based IoT systems currently face challenges in their decentralized trust management. Trust management is essential to obtain reliable mining and data fusion, improved user privacy and data security, and provisioning of services with context-awareness. In this survey, we first examine the edge-based IoT architectures currently reported in the literature. Then, a complete review of trust requirements in edge-based IoT systems is produced. Also, we discuss about blockchain as a solution to solve several trust problems in IoT and analyze in detail the correlation between blockchain and edge computing. Finally, we provide a detailed analysis of performance aspects of trusted edge-based IoT systems and recommend promising research directions.

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DiBLIoT: A Distributed Blacklisting Protocol for IoT Device Classification Using the Hashgraph Consensus Algorithm

Cited by 3 publications

References 10 publications

A Survey and Ontology of Blockchain Consensus Algorithms for Resource-Constrained IoT Systems

A Survey and Ontology of Blockchain Consensus Algorithms for Resource-Constrained IoT Systems

An Architecture for Enabling Collective Intelligence in IoT Networks

Trust in Edge-based Internet of Things Architectures: State of the Art and Research Challenges

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