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Blockchain and Smart Contract Technology for Advancement in IoT: Exploring the Synergies

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 1999

Special Issue Editors


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Guest Editor
Department of Computer Science, University of Nevada Las Vegas (UNLV), Las Vegas, NV 89154, USA
Interests: applied cryptography; cybersecurity; privacy preservation; malware detection; AI vulnerability
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer Science, Kennesaw State University, Marietta, GA, USA
Interests: modeling and analysis with applications in SDN; mobile wireless network; sensor network; cyber-physical systems; LoRaWAN
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid proliferation of Internet of Things (IoT) devices has revolutionized the way we interact with our surroundings, enabling seamless communication and automation across various domains. However, this exponential growth of IoT devices has also introduced significant challenges such as security vulnerabilities, data integrity, privacy concerns, and the lack of a trusted infrastructure. In response to these pressing issues, blockchain and smart contract technologies have emerged as promising solutions to enhance the security, trustworthiness, and efficiency of IoT deployments.

This Special Issue aims to explore the synergies between blockchain, smart contracts, and IoT, showcasing the latest advancements, challenges, and opportunities in this rapidly evolving field. The issue invites original research articles, comprehensive reviews, and case studies that highlight the integration of blockchain and smart contracts into IoT systems. Topics of interest include, but are not limited to:

  • Blockchain-enabled secure communication protocols for IoT devices.
  • Privacy-preserving mechanisms and identity management in IoT through blockchain.
  • Decentralized consensus algorithms for IoT networks.
  • Scalability and performance optimization techniques for blockchain-based IoT systems.
  • Trust and reputation management models for IoT ecosystems.
  • Smart contract design, execution, and verification in IoT environments.
  • Case studies and real-world deployments of blockchain and smart contracts in IoT domains such as healthcare, smart cities, agriculture, and manufacturing.
  • Blockchain-based analysis of medical or healthcare data.
  • Leveraging blockchain for intelligent healthcare systems using biomedical data.
  • Blockchain and smart contract technologies in edge computing and IoT networks.
  • Secure and trustworthy artificial intelligence in cloud, fog, edge, and IoT networking.

Dr. Junggab Son
Dr. Ahyoung Lee
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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
  • smart contract
  • internet of things (IoT)
  • security
  • privacy
  • trustworthiness
  • robustness
  • healthcare and biomedical data processing
  • IoT networking
  • fog/edge computing

Published Papers (2 papers)

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Research

22 pages, 3770 KiB  
Article
Searchable Blockchain-Based Healthcare Information Exchange System to Enhance Privacy Preserving and Data Usability
by Sejong Lee, Yushin Kim and Sunghyun Cho
Sensors 2024, 24(5), 1582; https://doi.org/10.3390/s24051582 - 29 Feb 2024
Viewed by 677
Abstract
Ensuring the security and usability of electronic health records (EHRs) is important in health information exchange (HIE) systems that handle healthcare records. This study addressed the need to balance privacy preserving and data usability in blockchain-based HIE systems. We propose a searchable blockchain-based [...] Read more.
Ensuring the security and usability of electronic health records (EHRs) is important in health information exchange (HIE) systems that handle healthcare records. This study addressed the need to balance privacy preserving and data usability in blockchain-based HIE systems. We propose a searchable blockchain-based HIE system that enhances privacy preserving while improving data usability. The proposed methodology includes users collecting healthcare information (HI) from various Internet of Medical Things (IoMT) devices and compiling this information into EHR blocks for sharing on a blockchain network. This approach allows participants to search and utilize specific health data within the blockchain effectively. The results demonstrate that the proposed system mitigates the issues of traditional HIE systems by providing secure and user-friendly access to EHRs. The proposed searchable blockchain-based HIE system resolves the trade-off dilemma in HIE by achieving a balance between security and the data usability of EHRs. Full article
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19 pages, 1125 KiB  
Article
Secure and Robust Demand Response Using Stackelberg Game Model and Energy Blockchain
by Mikhak Samadi, Sushmita Ruj, Henry Schriemer and Melike Erol-Kantarci
Sensors 2023, 23(20), 8352; https://doi.org/10.3390/s23208352 - 10 Oct 2023
Cited by 1 | Viewed by 942
Abstract
Demand response (DR) has been studied widely in the smart grid literature, however, there is still a significant gap in approaches that address security, privacy, and robustness of settlement processes simultaneously. The need for security and robustness emerges as a vital property, as [...] Read more.
Demand response (DR) has been studied widely in the smart grid literature, however, there is still a significant gap in approaches that address security, privacy, and robustness of settlement processes simultaneously. The need for security and robustness emerges as a vital property, as Internet of Things (IoT) devices become part of the smart grid; in the form of smart meters, home energy management systems (HEMSs), intelligent transformers, and so on. In this paper, we use energy blockchain to secure energy transactions among customers and the utility. In addition, we formulate a mixed-strategy stochastic game model to address uncertainties in DR contributions of agents and achieve optimal demand response decisions. This model utilizes the processing hardware of customers for block mining, stores customer DR agreements as distributed ledgers, and offers a smart contract and consensus algorithm for energy transaction validation. We use a real dataset of residential demand profiles and photovoltaic (PV) generation to validate the performance of the proposed scheme. The results show the impact of electric vehicle (EV) discharging and customer demand reduction on increasing the probability of successful block mining and improving customer profits. Moreover, the results demonstrate the security and robustness of our consensus algorithm for detecting malicious activities. Full article
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