A Blockchain-based IoT Security Solution Using Multichain

Ismail, Shereen; Reza, Hassan; Zadeh, Hossein Kashani; Vasefi, Fartash

doi:10.1109/ccwc57344.2023.10099128

Cited by 15 publications

(2 citation statements)

References 20 publications

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“…Examples of public BC platforms include Ethereum and Kadena [113]. A private BC has a central authority (or network manager) that determines which nodes may join, and does not provide each node with equal rights to perform tasks [114]. It differs from a public BC in that it restricts node participation and access to the BC depending on the authorization provided by the network [115].…”

Section: Types Of Bcmentioning

confidence: 99%

Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review

2023

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As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs) are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have several limitations which complicate the design of effective attack prevention and detection techniques. This paper aims to provide a comprehensive understanding of the fundamental principles underlying cybersecurity in WSNs. In addition to current and envisioned solutions that have been studied in detail, this review primarily focuses on state-of-the-art Machine Learning (ML) and Blockchain (BC) security techniques by studying and analyzing 171 up-to-date publications highlighting security aspect in WSNs. Then, the paper discusses integrating BC and ML towards developing a lightweight security framework that consists of two lines of defence, i.e, cyberattack detection and cyberattack prevention in WSNs, emphasizing the relevant design insights and challenges. The paper concludes by presenting a proposed integrated BC and ML solution highlighting potential BC and ML algorithms underpinning a less computationally demanding solution.

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Section: Types Of Bcmentioning

confidence: 99%

Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review

2023

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“…BC is a Distributed Ledger Technology (DLT) that can be used as a decentralized database that supports the essential SC system requirements, including visibility, provenance, security, and traceability [5,6]. New technological advancements, such as Big Data, Artificial Intelligence (AI), and Internet of Things (IoT), integrated with BC-based seafoodSCs, can offer significant advantages and create an agile and effective ecosystem [7], revolutionizing how smart cities manage their perishable food supplies and enhance seafood safety measures [8].…”

Section: Introductionmentioning

confidence: 99%

A Blockchain-Based Fish Supply Chain Framework for Maintaining Fish Quality and Authenticity

Ismail,

Nouman,

Reza

et al. 2024

Preprint

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The fish supply chain (FSC) industry faces a significant challenge in terms of maintaining fish quality and authenticity throughout the chain. The main goal of modern FSC systems is tracking and tracing the fish product at each stage, from harvester to end customer, as well as assessing its quality and authenticity. Integrating FSC with new technologies, such as Blockchain (BC), Big Data, Artificial intelligence (AI), and Internet of Things (IoT), enhances fish product traceability, authenticity, visibility, and security. We propose a BC-based FSC framework that follows a layered architecture consisting of a SC layer, an IoT layer, and a BC layer. We integrate a new AI-based hand-held device, a Quality, Adulteration & Traceability (QAT) device, that can identify fish species and assess fish quality. We leverage the key features of BC and smart contracts, deployed over the Ethereum platform for the proposed framework integrated with QAT technology. Extensive validation of smart contracts is conducted to prove its practical feasibility.

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A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence

Onyeashie,

Leimich,

McKeown

et al. 2024

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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The effective management of digital evidence is critical to modern forensic investigations. However, traditional evidence management approaches are often prone to security and integrity issues. In recent years, the use of blockchain technology has emerged as a promising solution to enhance the security, transparency, and integrity of digital evidence. This systematic review critically evaluates the current state of research on blockchain-based chain of custody for digital evidence and its potential to transform the digital forensic community. By analysing papers from major databases, this study provides a bibliometric analysis of the research trends and opportunities for blockchain-based evidence management since 2015. The review highlights the benefits of blockchain technology in providing an immutable and decentralised structure for documenting and auditing evidence trails. Additionally, this research identifies the challenges and limitations of implementing a blockchain-based chain of custody and presents practical and scalable solutions for overcoming these challenges at Big Data scale.

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A Blockchain-based IoT Security Solution Using Multichain

Cited by 15 publications

References 20 publications

Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review

Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review

A Blockchain-Based Fish Supply Chain Framework for Maintaining Fish Quality and Authenticity

A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence

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