Blockchain Meets IoT for Big Data

A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1447

Special Issue Editors


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Guest Editor
Department of Computer Science, School of Sciences and Engineering, University of Nicosia, Nicosia, Cyprus
Interests: active defenses; privacy and ethics; trust collaboration models
Faculty of Digital Transformations, ITMO University, St. Petersburg, Russia
Interests: analysis and synthesis of multimodal systems; artificial intelligence technologies; machine learning

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Guest Editor
Department of Digital Innovation, School of Business, University of Nicosia, Nicosia, Cyprus
Interests: blockchain; machine learning; natural language processing; spoken dialogue systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Digital Security Authority, National Cybersecurity Coordination Centre (NCCC-CY), Nicosia, Cyprus
Interests: intrusion detection systems in IoT; anomaly detection; machine learning; mobility in IoT

Special Issue Information

Dear Colleagues,

Blockchain technologies constitute a relatively recent area exhibiting disruptive properties. Those properties are widely acknowledged as having a strong potential impact on numerous domains spanning from new forms of the digital economy to decentralized data management and metaverses. This transformative power fosters a diverse ecosystem of disciplines including mathematics, computer science/engineering, economics, and finance, as well as social sciences such as law and psychology.

This Special Issue focuses on the computer science/engineering-related spectrum of the aforementioned ecosystem as it can be regarded as the mission-critical building block from a technological point of view. This scope covers different levels starting from design and proceeding to implementation and benchmarking. Within this scope, different granularities can be considered, from single models and algorithms up to multi-component systems and complex frameworks. Given the decentralized nature of blockchains, aspects like security, privacy, and trust are of special interest.

Based on the aforementioned focus, the current Special Issue adopts an additional key orientation of the integration of blockchains with the following technologies: Internet-of-Things (IoT), Big Data, Artificial Intelligence and Machine Learning. This is motivated by a fundamental realization: truly transformative digital solutions need to bring together complementary forces as no single technology can address complex challenges. IoT and Big Data are positioned closer to the data layer, while AI and ML stand as data-driven enablers of intelligent models and services. Within this symbiotic environment, blockchain contributes mechanisms for data integrity and transparency along with novel forms of decentralized finance deployed around those AI/ML services.

Potential topics include but are not limited to the following:

  • Blockchain analytics
  • Systems and architectures for combining on-chain and on-chain storage
  • On-chain systems and architectures for big data processing
  • On-chain systems and architectures for data-powered algorithms (e.g., machine learning)
  • The role of IoT and big data in blockchain-based metaverses
  • Blockchain and governance/regulation for IoT
  • Blockchain and AI for IoT
  • Practical experience with blockchain-based frameworks for IoT or big data
  • Secure smart contracts for big data processing
  • Blockchain mechanisms for IoT security, privacy, and trust
  • Attacks and Threat Models for IoT blockchain-based frameworks
  • Security and performance tradeoffs in IoT/big data blockchain-based frameworks
  • Ethical Considerations in IoT and big data blockchain-based metaverses
  • Intrusion Detections Systems using AI and blockchain techniques

Prof. Dr. Ioanna Dionysiou
Dr. Oleg Basov 
Dr. Elias Iosif
Dr. Christiana Ioannou 
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • blockchain
  • IoT
  • AI
  • big data
  • smart contracts
  • analytics
  • on-chain storage
  • off-chain storage
  • data-powered algorithms
  • metaverse
  • security
  • privacy
  • threat models
  • ethics

Published Papers (1 paper)

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Research

13 pages, 11349 KiB  
Article
Proposal of a Service Model for Blockchain-Based Security Tokens
by Keundug Park and Heung-Youl Youm
Big Data Cogn. Comput. 2024, 8(3), 30; https://doi.org/10.3390/bdcc8030030 - 12 Mar 2024
Viewed by 986
Abstract
The volume of the asset investment and trading market can be expanded through the issuance and management of blockchain-based security tokens that logically divide the value of assets and guarantee ownership. This paper proposes a service model to solve a problem with the [...] Read more.
The volume of the asset investment and trading market can be expanded through the issuance and management of blockchain-based security tokens that logically divide the value of assets and guarantee ownership. This paper proposes a service model to solve a problem with the existing investment service model, identifies security threats to the service model, and specifies security requirements countering the identified security threats for privacy protection and anti-money laundering (AML) involving security tokens. The identified security threats and specified security requirements should be taken into consideration when implementing the proposed service model. The proposed service model allows users to invest in tokenized tangible and intangible assets and trade in blockchain-based security tokens. This paper discusses considerations to prevent excessive regulation and market monopoly in the issuance of and trading in security tokens when implementing the proposed service model and concludes with future works. Full article
(This article belongs to the Special Issue Blockchain Meets IoT for Big Data)
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