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Blockchain-Based Systems: Design, Implementation and Evaluation
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Blockchain-Based Systems: Design, Implementation and Evaluation

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 10357

Special Issue Editor

Prof. Dr. Wenbing Zhao

E-Mail Website
Guest Editor
Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USA
Interests: computational intelligence; Internet of Things; big data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Blockchain is a transformative technology that builds trust and consensus among a potentially large number of participants without any centralized control. Its effectiveness has been proven in cryptocurrencies. In recent years, there has been great enthusiasm about extending blockchain use beyond cryptocurrencies to virtually every sector of the society, because trust and consensus are essential requirements for the operation of many applications. This Special Issue welcomes research and developmental works on various applications of blockchain technology, as well as works on fundamental issues of blockchain technology. Topics of interest include but are not limited to the following areas:

  • Blockchain for banking and finance;
  • Blockchain for supply chain;
  • Blockchain for consumer products and retail;
  • Blockchain for government;
  • Blockchain for automotive; 
  • Blockchain for medicine and health care;
  • Blockchain for travel and transportation;
  • Blockchain for Internet of Things;
  • Blockchain for agriculture;
  • Consensus algorithms;
  • Cyberattacks on blockchains;
  • Scalability of blockchains;
  • Reliability analysis of blockchain-based systems;
  • Visualization of blockchain data;
  • Alternative distributed ledger technologies, such as direct acyclic graph and hash graph-based distributed ledger, and their applications.

Prof. Dr. Wenbing Zhao
Guest Editor

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. Applied System Innovation 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 1400 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 (2 papers)

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Research

27 pages, 456 KiB  
Article
Resilience Analysis for Double Spending via Sequential Decision Optimization
by Juri Hinz
Appl. Syst. Innov. 2020, 3(1), 7; https://doi.org/10.3390/asi3010007 - 17 Jan 2020
Viewed by 2971
Abstract
Recently, diverse concepts originating from blockchain ideas have gained increasing popularity. One of the innovations in this technology is the use of the proof-of-work (PoW) concept for reaching a consensus within a distributed network of autonomous computer nodes. This goal has been achieved [...] Read more.
Recently, diverse concepts originating from blockchain ideas have gained increasing popularity. One of the innovations in this technology is the use of the proof-of-work (PoW) concept for reaching a consensus within a distributed network of autonomous computer nodes. This goal has been achieved by design of PoW-based protocols with a built-in equilibrium property: If all participants operate honestly then the best strategy of any agent is also to follow the same protocol. However, there are concerns about the stability of such systems. In this context, the analysis of attack vectors, which represent potentially successful deviations from the honest behavior, turns out to be the most crucial question. Naturally, stability of a blockchain system can be assessed only by determining its most vulnerable components. For this reason, knowing the most successful attacks, regardless of their sophistication level, is inevitable for a reliable stability analysis. In this work, we focus entirely on blockchain systems which are based on the proof-of-work consensus protocols, referred to as PoW-based systems, and consider planning and launching an attack on such system as an optimal sequential decision-making problem under uncertainty. With our results, we suggest a quantitative approach to decide whether a given PoW-based system is vulnerable with respect to this type of attack, which can help assessing and improving its stability. Full article
(This article belongs to the Special Issue Blockchain-Based Systems: Design, Implementation and Evaluation)
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31 pages, 7060 KiB  
Article
A Novel Combination of Distributed Ledger Technologies on Internet of Things: Use Case on Precision Agriculture
by Odysseas Lamtzidis, Dennis Pettas and John Gialelis
Appl. Syst. Innov. 2019, 2(3), 30; https://doi.org/10.3390/asi2030030 - 18 Sep 2019
Cited by 16 | Viewed by 6806
Abstract
Internet-of-Things (IoT) is an enabling technology for numerous initiatives worldwide such as manufacturing, smart cities, precision agriculture, and eHealth. The massive field data aggregation of distributed administered IoT devices allows new insights and actionable information for dynamic intelligent decision-making. In such distributed environments, [...] Read more.
Internet-of-Things (IoT) is an enabling technology for numerous initiatives worldwide such as manufacturing, smart cities, precision agriculture, and eHealth. The massive field data aggregation of distributed administered IoT devices allows new insights and actionable information for dynamic intelligent decision-making. In such distributed environments, data integrity, referring to reliability and consistency, is deemed insufficient and requires immediate facilitation. In this article, we introduce a distributed ledger (DLT)-based system for ensuring IoT data integrity which securely processes the aggregated field data. Its uniqueness lies in the embedded use of IOTA’s ledger, called “The Tangle”, used to transmit and store the data. Our approach shifts from a cloud-centric IoT system, where the Super nodes simply aggregate and push data to the cloud, to a node-centric system, where each Super node owns the data pushed in a distributed and decentralized database (i.e., the Tangle). The backend serves as a consumer of data and a provider of additional resources, such as administration panel, analytics, data marketplace, etc. The proposed implementation is highly modularand constitutes a significant contribution to the Open Source communities, regarding blockchain and IoT. Full article
(This article belongs to the Special Issue Blockchain-Based Systems: Design, Implementation and Evaluation)
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