On the use of Blockchain to enable a highly scalable Internet of Things Data Marketplace

González, Víctor Abraham Villagrá; Sánchez, Luis; Lanza, Jorge; Santana, Juan Ramón; Sotres, Pablo; García, Alberto Eloy Martos

doi:10.1016/j.iot.2023.100722

Cited by 12 publications

(6 citation statements)

References 36 publications

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“…González et al [100] discussed a Blockchain-based IoT Data Marketplace (BIDM), which enables decentralized and transparent exchange of information between IoT infrastructures and applications. BIDM ensures the traceability of data transactions, authenticates data sources, and ensures platform reliability.…”

Section: B Data Management and Monetization 1) Data Marketplaces And ...mentioning

confidence: 99%

Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review

Deepak,

Gulia,

Gill

et al. 2024

IEEE Access

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Internet of Things (IoT) plays an essential contribution in connecting devices and enabling seamless data exchange, leading to increased efficiency and convenience. However, security concerns in IoT systems are significant, as compromised devices can lead to data breaches and privacy violations. Blockchain technology can enhance IoT security by providing decentralized consensus, immutability, and transparent transaction records, ensuring secure and trustworthy communication and data integrity. This review article gives a succinct but thorough understanding of blockchain technology, covering architecture of blockchain, working principles, types, applications, platforms, and its role in the IoT environment. The study highlights potential benefits of blockchain like enhanced security and privacy, and explores its integration with IoT. Additionally, the study discusses various real-world applications, examines blockchain platforms, and addresses the limitations and challenges associated with blockchain technology. This review serves as a valuable resource for researchers and practitioners seeking a deeper understanding of blockchain's potential and its implications in the IoT landscape.INDEX TERMS Blockchain, Data Exchange, Internet of Things (IoT), Privacy, Security.

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Section: B Data Management and Monetization 1) Data Marketplaces And ...mentioning

confidence: 99%

Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review

Deepak,

Gulia,

Gill

et al. 2024

IEEE Access

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“…The performance of the model is obtained using a confusion matrix consisting of precision, F1-Score, and method accuracy [17] with formulas ( 6), ( 7), (8), and (9) [57].…”

Section: Evaluationsmentioning

confidence: 99%

“…One study revealed that marketplaces are critical to lifting millions of small businesses out of poverty [7]. Data marketplaces are intended in other business models for producers to be able to provide offers to different consumers in parallel [8]. Marketplace provides pricing from consumers and operators earn costs through sales proceeds [9].…”

Section: Introductionmentioning

confidence: 99%

Sentiment Analysis on Marketplace in Indonesia using Support Vector Machine and Naïve Bayes Method

Dakwah,

Firdaus,

Furizal

et al. 2024

J. Ilm. Tek. Elektro Komput. Dan Inform

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This research addresses the challenges of marketplace customer feedback, which is an important aspect in today's era of online transactions. Marketplaces often receive many unsatisfactory comments from their customers through social media platforms. One approach that can be used to address this is sentiment analysis. This research contributes new insights as recommendations for marketplaces based on customer opinions on available services and delivery. The sentiment analysis methods used are Naive Bayes and Support Vector Machine because they are considered the best methods in training text-based classification models. Before being classified, the data goes through preprocessing stages such as cleaning, case folding, filtering, stemming, and tokenizing, as well as feature extraction stages using Term Frequency -Inverse Document Frequency (TF-IDF). The objects analyzed are divided into several well-known marketplaces in Indonesia such as Tokopedia, Lazada, and Shopee in discussing services and delivery of goods. The data used in this study comes from Twitter (X) social media accessed on August 27, 2023, using crawling techniques and successfully obtained as much as 2057 Tweet data. The best accuracy is obtained in the SVM method when compared to the Naive Bayes method. Words obtained based on service talks include price, service, application service, feedback, independence, and others. As for the delivery of goods, common words such as COD, delivery, package, courier, cheap, price, and others appear. Both methods used have good accuracy and can be recommended for use in similar research.

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“…But these solutions are either based on simulations [14] or an initial proof of concept whose technical implementation is not provided [15], and only the general architecture is described. Some evidence on the performance of these prototypes has been reported, but only emulated scenarios [16] with no real blockchain networks can be found. In some cases, authors have replicated the behavior of blockchain networks using programming interfaces [17], but still, no real information is provided about how these marketplaces would behave in a real ecosystem.…”

Section: State Of the Art Regarding Data-driven And Blockchain Market...mentioning

confidence: 99%

Using Privacy-Preserving Algorithms and Blockchain Tokens to Monetize Industrial Data in Digital Marketplaces

Bordel Sánchez,

Alcarria,

Ladid

et al. 2024

Computers

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The data economy has arisen in most developed countries. Instruments and tools to extract knowledge and value from large collections of data are now available and enable new industries, business models, and jobs. However, the current data market is asymmetric and prevents companies from competing fairly. On the one hand, only very specialized digital organizations can manage complex data technologies such as Artificial Intelligence and obtain great benefits from third-party data at a very reduced cost. On the other hand, datasets are produced by regular companies as valueless sub-products that assume great costs. These companies have no mechanisms to negotiate a fair distribution of the benefits derived from their industrial data, which are often transferred for free. Therefore, new digital data-driven marketplaces must be enabled to facilitate fair data trading among all industrial agents. In this paper, we propose a blockchain-enabled solution to monetize industrial data. Industries can upload their data to an Inter-Planetary File System (IPFS) using a web interface, where the data are randomized through a privacy-preserving algorithm. In parallel, a blockchain network creates a Non-Fungible Token (NFT) to represent the dataset. So, only the NFT owner can obtain the required seed to derandomize and extract all data from the IPFS. Data trading is then represented by NFT trading and is based on fungible tokens, so it is easier to adapt prices to the real economy. Auctions and purchases are also managed through a common web interface. Experimental validation based on a pilot deployment is conducted. The results show a significant improvement in the data transactions and quality of experience of industrial agents.

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On the use of Blockchain to enable a highly scalable Internet of Things Data Marketplace

Cited by 12 publications

References 36 publications

Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review

Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review

Sentiment Analysis on Marketplace in Indonesia using Support Vector Machine and Naïve Bayes Method

Using Privacy-Preserving Algorithms and Blockchain Tokens to Monetize Industrial Data in Digital Marketplaces

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