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Special Issue "The Intersection Between Internet of Things and Distributed Ledger Technologies"

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

Deadline for manuscript submissions: 31 August 2019.

Special Issue Editors

Guest Editor
Dr. Gary B. Wills

Associate Professor, School of Electronic and Computer Science, University of Southampton, University Road, Highfield Campus, Southampton, SO17 1BJ, UK
Website | E-Mail
Phone: +442380592831
Interests: The technology research areas are security, Big Data, knowledge management, cloud computing and games (including gamification). Gary works across disciplines with colleagues from industry and academia (medicine, psychology, health sciences, sociology and education).
Guest Editor
Prof. Ayman EL-SAYED

Computer Science and Engineering Dept., Faculty of Electronic Engineering, Menofia University, Menouf, Egypt
Website | E-Mail
Interests: Computer Network, Soft computing, Multicast routing protocols, bio-informatics, Bio-computing, Internet of Things, and image processing techniques
Guest Editor
Dr. Hany F. Atlam

School of Electronic and Computer Science, University of Southampton, University Road, Highfield Campus, Southampton, SO17 1BJ, UK
Website | E-Mail
Interests: Distributed ledger Technology; Blockchain; Internet of things (IoT); IoT Security; IoT Privacy; Blockchain-based solutions for IoT

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) represents a revolutionary technology that enables almost everything everywhere to be connected over the Internet. The IoT enables various devices and objects around us in the environment to be addressable, recognizable and locatable via cheap sensor devices. These devices can be connected and communicate with each other over the Internet using either wired or wireless communication networks. Although the IoT system provides countless benefits in various domains, it faces several issues with the current centralized model in which all IoT devices and objects are identified, authenticated and controlled by a centralized server. This model faces many obstacles such as computation, scalability and security. Current solutions are mostly based on cloud computing infrastructures, which necessitate high-end servers and high-speed networks to provide services related to storage and computation. On the other hand, distributed ledger technology (DLT) has gained a great attention in recent years as an innovative approach that provides a transparent and verifiable record of transactions. DLT combines a group of untrusted nodes in a distributed and decentralized environment. It has a massive potential to change how governments, organizations and institutions work. It can bring myriad advantages to various government activities. With several limitations in the centralized IoT architecture, moving the IoT system into one of the distributed ledger technologies may be the right decision. One of the popular examples of DLTs is blockchain technology. Integrating the IoT with blockchain can bring many advantages. For instance, adopting the decentralized architecture for the IoT system can solve many issues, especially security and single point of failure issues, since the DLT provides a decentralized and distributed environment where there is no need for a central authority to manage the execution of operations and control communication between various nodes in the network. This Special Issue aims to publish original, high quality, significant, and visionary research addressing recent advances in DLT technologies such as blockchain for various applications of the IoT. Potential topics include but are not limited to the following: ·

  • Distributed ledger theory in IoT.
  • Use of DLT in cloud, edge and fog computing.
  • New IoT applications based on DLT.
  • Blockchain schemes for decentralization in IoT
  • Performance evaluation of blockchain and decentralized schemes for IoT
  • Blockchain-based IoT security solutions
  • Theory and foundation research of blockchain in IoT
  • Scalability, security, privacy, and storage optimizations in DLT for IoT
  • Scalable blockchain solution for IoT systems
  • Integration of blockchain and edge computing technologies
  • Performance evaluation of blockchain and decentralized schemes for IoT
  • IoT applications with blockchain technique
  • Blockchain-based IoT security solutions
  • Lightweight data structures for IoT data
  • Applications of blockchain in IoT scenarios

IoT security and privacy based blockchain solutions

Dr. Gary B. Wills
Prof. Ayman EL-SAYED
Dr. Hany F. Atlam
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 papers will be 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 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.

Published Papers (1 paper)

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Research

Open AccessArticle
A Cross-Chain Solution to Integrating Multiple Blockchains for IoT Data Management
Sensors 2019, 19(9), 2042; https://doi.org/10.3390/s19092042
Received: 1 April 2019 / Revised: 25 April 2019 / Accepted: 28 April 2019 / Published: 1 May 2019
PDF Full-text (1630 KB) | HTML Full-text | XML Full-text
Abstract
With the rapid development of the internet of things (IoT), traditional industries are setting off a massive wave of digitization. In the era of the Internet of Everything, millions of devices and links in IoT pose more significant challenges to data management. Most [...] Read more.
With the rapid development of the internet of things (IoT), traditional industries are setting off a massive wave of digitization. In the era of the Internet of Everything, millions of devices and links in IoT pose more significant challenges to data management. Most existing solutions employ centralized systems to control IoT devices, which brings about the privacy and security issues in IoT data management. Recently, blockchain has attracted much attention in the field of IoT due to its decentralization, traceability, and non-tamperability. However, it is non-trivial to apply the current blockchain techniques to IoT due to the lack of scalability and high resource costs. Different blockchain platforms have their particular advantages in the scenario of IoT data management. In this paper, we propose a cross-chain framework to integrate multiple blockchains for efficient and secure IoT data management. Our solution builds an interactive decentralized access model which employs a consortium blockchain as the control station. Other blockchain platforms customized for specific IoT scenarios run as the backbone of all IoT devices. It is equivalent to opening the off-chain channels on the consortium blockchain. Our model merges transactions in these channels for confirmation based on the notary mechanism. Finally, we implement a prototype of the proposed model based on hyperledge Fabric and IOTA Tangle. We evaluate the performance of our method through extensive experiments. The results demonstrate the effectiveness and efficiency of our framework. Full article
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