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

IEEE Access, Год журнала: 2022, Номер 10, С. 122679 - 122695

Опубликована: Янв. 1, 2022

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

Язык: Английский

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The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things

Computer Methods and Programs in Biomedicine, Год журнала: 2023, Номер 241, С. 107745 - 107745

Опубликована: Авг. 9, 2023

Язык: Английский

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A drone-based data management and optimization using metaheuristic algorithms and blockchain smart contracts in a secure fog environment

Computers & Electrical Engineering, Год журнала: 2022, Номер 102, С. 108234 - 108234

Опубликована: Июль 25, 2022

Язык: Английский

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BIoMT: A State-of-the-Art Consortium Serverless Network Architecture for Healthcare System Using Blockchain Smart Contracts

IEEE Access, Год журнала: 2022, Номер 10, С. 78887 - 78898

Опубликована: Янв. 1, 2022

Owing to the sensitive nature of healthcare data, aforementioned approach transferring patient data central servers creates serious security and privacy issues. In addition, blockchain distributed ledger technology has introduced immutable storage decentralized management capability, which handles a large number nodes E-Healthcare transactions via serverless network, but in limited manner because blockchain-enabled resources. this scenario, medical industries are concerned about constituting an innovation health information preservation exchanging service delivery protocols without connectivity untrusted third-party infrastructure. study, we proposed hyperledger fabric-enabled consortium architecture called BIoMT, provides security, integrity, transparency, provenance health-related exchanges clinical peer-to-peer (P2P) secure network environment. A consensus is designed created reduce rate resource constraints on Internet Medical Things (IoMT). The individual before sharing protected using NuCypher Re-Encryption mechanism, increases integrity transparency. Smart contracts deployed automate device registration, exchange transactions, (filecoin) after cross verification validation. experimental results show that BIoMT reduces computational cost by 26.13%, robust node generation 60.37%. Thus, only 31.79% 74.21% IoMT-related P2P usage maintained saved, respectively.

Язык: Английский

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Market capitalization shock effects on open innovation models in e-commerce: golden cut q-rung orthopair fuzzy multicriteria decision-making analysis

Financial Innovation, Год журнала: 2023, Номер 9(1)

Опубликована: Фев. 7, 2023

This research paper analyzes revenue trends in e-commerce, a sector with an annual sales volume of more than 340 billion dollars. The article evaluates, despite scarcity data, the effects on e-commerce development ubiquitous lockdowns and restriction measures introduced by most countries during pandemic period. analysis covers monthly data from January 1996 to February 2021. relative changes original time series through autocorrelation function. objects this are Amazon Alibaba, as they benchmarks industry. tests shock effect companies Alibaba China USA, concluding that it is weaker for small market capitalizations. As result, estimated e-trade USA was approximately 35% 2020. Another evaluation considers fuzzy decision-making methodology. For purpose, balanced scorecard-based open financial innovation models industry weighted multistepwise weight assessment ratio based q-rung orthopair sets golden cut. Within framework, detailed competitors should be made. proves situation positively affects successful Therefore, may possible attract greater attention these products.

Язык: Английский

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BDLT-IoMT—a novel architecture: SVM machine learning for robust and secure data processing in Internet of Medical Things with blockchain cybersecurity

The Journal of Supercomputing, Год журнала: 2024, Номер 81(1)

Опубликована: Дек. 10, 2024

The integration of artificial intelligence (AI) has caused information and communication technology (ICT) to undergo a number recent rapid fluctuations. These changes have primarily affected the areas management, end-to-end device interconnectivity, resource organization, communication, networking, application-related aspects ICT. Owing complex structure applicational connectedness, evaluating each aforementioned opportunities concurrently reflects idea heterogeneity. association multiple end devices, particularly in interoperable space, integrity, privacy protection, security, provenance, massive volume everyday media data generated modern healthcare setting could also provide significant issues. To address these issues, decentralized, secure, economical optimization, intelligent network activities organization are necessary. Blockchain plays crucial role providing distributed storage sharing, exchange for automated decision-making, privacy, security AI-enabled machine learning (ML) models. However, models—support vector machine, particular—have impact on growth consortium networks among connected nodes, resolving issues with scalability, processing. By three main problems seamless peer-to-peer between infrastructure we novel technique this proposed architecture. approach is unique, as demonstrated by simulation-based results, which display huge differences 1.37%, 1.56%, 1.87%, respectively. background evaluation consists following areas: (i) protect decision-making; (ii) integrity smooth sharing exchange; (iii) optimization enable across heterogeneous devices.

Язык: Английский

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BLPCA-Ledger: A Lightweight Plenum Consensus Protocols for Consortium Blockchain Based on the Hyperledger Indy

Computer Standards & Interfaces, Год журнала: 2024, Номер 91, С. 103876 - 103876

Опубликована: Май 28, 2024

Язык: Английский

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A blockchain privacy-conserving framework for secure medical data transmission in the internet of medical things

Decision Analytics Journal, Год журнала: 2024, Номер 10, С. 100419 - 100419

Опубликована: Фев. 12, 2024

The Internet of Medical Things (IoMT) has transformed healthcare, collecting and transmitting vast medical data. This study proposes an innovative solution, integrating blockchain into IoMT within a fog-cloud computing framework for secure data transmission. blockchain-based zero-trust system ensures reliable auditing Electronic Health Repository (EHR) protection. New entries atop prior blocks deter tampering, with Quad Merkle tree zero-knowledge proof encryption ensuring integrity privacy. multi-critic deep deterministic policy gradient algorithm optimizes task-offloading decisions in the layer. Security analyses validate its effectiveness, improving efficiency fidelity These findings position as promising solution enhancing security edge-fog cloud environments, aligning evolving healthcare technology demands.

Язык: Английский

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The rise and fall of cryptocurrencies: defining the economic and social values of blockchain technologies, assessing the opportunities, and defining the financial and cybersecurity risks of the Metaverse

Financial Innovation, Год журнала: 2024, Номер 10(1)

Опубликована: Янв. 31, 2024

Abstract This study examines blockchain technologies and their pivotal role in the evolving Metaverse, shedding light on topics such as how to invest cryptocurrency, mechanics behind crypto mining, strategies effectively buy trade cryptocurrencies. While it contextualises common queries of "why is crashing?" down?", research transcends beyond frequent market fluctuations unravel cryptocurrencies fundamentally work step-by-step process create a cryptocurrency. Contrasting existing literature, this comprehensive investigation encompasses both economic cybersecurity risks inherent fintech spheres. Through an interdisciplinary approach, transitions from fundamental principles investment overarching implications within Metaverse. Alongside exploring machine learning potentials financial sectors risk assessment methodologies, critically assesses whether developed or developing nations are poised reap greater benefits these technologies. Moreover, probes into enduring dubious projects, drawing distinct line between genuine applications Ponzi-like schemes. The conclusion resolutely affirms staying power technologies, underlined by profound exploration intrinsic value reflective commentary author potential confronting individual investors.

Язык: Английский

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A Blockchain and Metaheuristic-Enabled Distributed Architecture for Smart Agricultural Analysis and Ledger Preservation Solution: A Collaborative Approach

Applied Sciences, Год журнала: 2022, Номер 12(3), С. 1487 - 1487

Опубликована: Янв. 29, 2022

Distributed forecasting of agriculture commodity prices has an attractive research perspective that delivers active breakthrough analysis the rapid fluctuations in pricing forecasts for participating stakeholders without being manually dispatched lists. The increased use efficient mechanism information management generated records and processing creates emerging challenges limitations. These include new government mandates regulations, price land expansion, growing demand commodities, global financial market, food security, bio-based fuels. Building deploying distributed dynamic scheduling, management, monitoring systems agricultural activities supply chains require a significant secure approach. Thus, this paper discusses collaborative approach where two different folds are demonstrated to cover distinct aspects with objectives. A metaheuristic-enabled genetic algorithm is designed receive day-to-day production details process analyze forecast from by managing, them real-time. blockchain hyperledger sawtooth modular technology provides communication channel between stakeholders, private network, protects ledger, adds updates prices, preserves node transactions immutable ledger (IPFS). To accomplish this, we design, develop, deploy smart contracts register system’s actual allow addition exchanges. second contract distributes it while preserving detailed addresses storage. simulation results proposed deliver E-agriculture accuracy 95.3%. It also maintains transparency, integrity, provenance, availability, operational control access activities.

Язык: Английский

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