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Computers
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BLockchain Enabled Sustainable Smart Cities (BLESS 2022)
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BLockchain Enabled Sustainable Smart Cities (BLESS 2022)

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Blockchain Infrastructures and Enabled Applications".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 9971

Special Issue Editors

Dr. Yu Chen

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Binghamton University, State University of New York, Binghamton, NY 13902, USA
Interests: cyber security; intelligent surveillance; IoT; cloud security and privacy
Special Issues, Collections and Topics in MDPI journals
Dr. Sachin Shetty

E-Mail Website
Guest Editor
Virginia Modeling, Analysis and Simulation Center, Old Dominion University, Suffolk, VA 23435, USA
Interests: modeling and simulation; cyber security; blockchain; trustworthy AI
Special Issues, Collections and Topics in MDPI journals
Dr. Shantanu Pal

E-Mail Website
Guest Editor
School of Information Technology, Deakin University, Melbourne, VIC 3125, Australia
Interests: cybersecurity; privacy; blockchain; IoT; WSN; WBAN
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Fifth International Workshop on BLockchain Enabled Sustainable Smart Cities (BLESS 2022) will be held in conjunction with ICCCN 2022 Conference, July 25–July 28, 2022, Waikiki Beach, Honolulu, HI, USA. The Fourth ACM International Workshop on Blockchain-enabled Networked Sensor Systems (BlockSys 2022) will be held in conjunction with SenSys-2022 conference, November 6, 2022, Boston, USA. More details: http://bingweb.binghamton.edu/~rxu22/BLESS_2022.html and https://acmblocksys.github.io/blocksys2022/.

Enabled by the proliferation of the Internet of Things (IoT), edge-fog-cloud computing, and interconnected networks, smart cities are capable of innovative solutions to change the lifestyles of its residents. Unavoidably, the potential benefits come along with new challenges and concerns related to information security and privacy. Blockchain technology is a platform that would provide tamper-proof storage for data derived from smart cities and ensure that access to the data is tracked and provided to authorized users. The resultant chain of custody will provide an interoperable platform that would facilitate decisions in smart cities that would impact the communities. The transparency the platform would provide to citizens would go a long way in building trust and ensuring that businesses will be held to high standards of accountability.

Researchers and developers from both academia and industry have recognized the potential of blockchain technology as a trusted platform for the information and communication infrastructure of smart cities. The integration of blockchain in smart cities would benefit applications such as universal ID cards, land/property/housing/energy/water/pollution management, improving public transit urban planning, universal data storage and keyless signature interfaces, amongst several others.

The authors of selected papers that are presented at the BLESS 2021 and BlockSys-2022 are invited to submit their extended versions to this Special Issue of the journal Computers after the conference. Submitted papers should be extended to the size of regular research or review articles, with at least a 50% extension of new results (e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases, and not exceed 30% copy/paste from conference paper). All submitted papers will undergo our standard peer-review procedure. Accepted papers will be published in open access format in Computers and collected together on this Special Issue’s website.

We are also inviting original research work covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in blockchain technology in the context of smart cities.

The main topics include, but are not limited to:

  • Blockchain-based cyber physical systems for smart cities;
  • Blockchain-based information hiding/encryption in smart cities;
  • Blockchain-based lightweight algorithms and protocols for IoT;
  • Blockchain-based security and privacy solutions for smart cities;
  • Blockchain-enabled novel applications and services in smart cities;
  • Smart contract and distributed ledger for smart cities;
  • Security, privacy and trust of blockchain based decentralized systems;
  • Blockchain in critical infrastructure resilience (power grid, oil and gas, etc.);
  • Blockchain for supply chain protection;
  • Blockchain for secure access control and identity management
  • Blockchain for networked identity management;
  • Scalability of blockchain;
  • Secure blockchain-based identity management systems;
  • Interoperable blockchain systems;
  • Blockchain infrastructure for public transit management;
  • Blockchain for social impact;
  • Blockchain-based voting systems for urban and regional planning decisions;
  • Blockchain for universal data storage;
  • Keyless signature interfaces.

Dr. Yu Chen
Dr. Sachin Shetty
Dr. Shantanu Pal
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. Computers 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.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

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16 pages, 865 KiB  
Article
Introducing a Fair Tax Method to Harden Industrial Blockchain Applications against Network Attacks: A Game Theory Approach
by Fatemeh Stodt and Christoph Reich
Computers 2023, 12(3), 64; https://doi.org/10.3390/computers12030064 - 16 Mar 2023
Cited by 3 | Viewed by 2391
Abstract
Industrial Internet of Things (IIoT) systems are enhancing the delivery of services and boosting productivity in a wide array of industries, from manufacturing to healthcare. However, IIoT devices are susceptible to cyber-threats such as the leaking of important information, products becoming compromised, and [...] Read more.
Industrial Internet of Things (IIoT) systems are enhancing the delivery of services and boosting productivity in a wide array of industries, from manufacturing to healthcare. However, IIoT devices are susceptible to cyber-threats such as the leaking of important information, products becoming compromised, and damage to industrial controls. Recently, blockchain technology has been used to increase the trust between stakeholders collaborating in the supply chain in order to preserve privacy, ensure the provenance of material, provide machine-led maintenance, etc. In all cases, such industrial blockchains establish a novel foundation of trust for business transactions which could potentially streamline and expedite economic processes to a significant extent. This paper presents an examination of “Schloss”, an industrial blockchain system architecture designed for multi-factory environments. It proposes an innovative solution to increase trust in industrial networks by incorporating a fairness concept as a subsystem of an industrial blockchain. The proposed mechanism leverages the concept of taxes imposed on blockchain nodes to enforce ethical conduct and discipline among participants. In this paper, we propose a game theory-based mechanism to address security and trust difficulties in industrial networks. The mechanism, inspired by the ultimatum game, progressively punishes malicious actors to increase the cost of fraud, improve the compensation system, and utilise the reward reporting capabilities of blockchain technology to further discourage fraudulent activities. Furthermore, the blockchain’s incentive structure is utilised to reduce collusion and speed up the process of reaching equilibrium, thereby promoting a secure and trustworthy environment for industrial collaboration. The objective of this paper is to address lack of trust among industrial partners and introduce a solution that brings security and trust to the forefront of industrial blockchain applications. Full article
(This article belongs to the Special Issue BLockchain Enabled Sustainable Smart Cities (BLESS 2022))
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12 pages, 1445 KiB  
Article
Understanding Bitcoin Price Prediction Trends under Various Hyperparameter Configurations
by Jun-Ho Kim and Hanul Sung
Computers 2022, 11(11), 167; https://doi.org/10.3390/computers11110167 - 21 Nov 2022
Cited by 5 | Viewed by 2216
Abstract
Since bitcoin has gained recognition as a valuable asset, researchers have begun to use machine learning to predict bitcoin price. However, because of the impractical cost of hyperparameter optimization, it is greatly challenging to make accurate predictions. In this paper, we analyze the [...] Read more.
Since bitcoin has gained recognition as a valuable asset, researchers have begun to use machine learning to predict bitcoin price. However, because of the impractical cost of hyperparameter optimization, it is greatly challenging to make accurate predictions. In this paper, we analyze the prediction performance trends under various hyperparameter configurations to help them identify the optimal hyperparameter combination with little effort. We employ two datasets which have different time periods with the same bitcoin price to analyze the prediction performance based on the similarity between the data used for learning and future data. With them, we measure the loss rates between predicted values and real price by adjusting the values of three representative hyperparameters. Through the analysis, we show that distinct hyperparameter configurations are needed for a high prediction accuracy according to the similarity between the data used for learning and the future data. Based on the result, we propose a direction for the hyperparameter optimization of the bitcoin price prediction showing a high accuracy. Full article
(This article belongs to the Special Issue BLockchain Enabled Sustainable Smart Cities (BLESS 2022))
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Other

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27 pages, 542 KiB  
Systematic Review
Cyber Threat Intelligence on Blockchain: A Systematic Literature Review
by Dimitrios Chatziamanetoglou and Konstantinos Rantos
Computers 2024, 13(3), 60; https://doi.org/10.3390/computers13030060 - 26 Feb 2024
Cited by 3 | Viewed by 4229
Abstract
Cyber Threat Intelligence (CTI) has become increasingly important in safeguarding organizations against cyber threats. However, managing, storing, analyzing, and sharing vast and sensitive threat intelligence data is a challenge. Blockchain technology, with its robust and tamper-resistant properties, offers a promising solution to address [...] Read more.
Cyber Threat Intelligence (CTI) has become increasingly important in safeguarding organizations against cyber threats. However, managing, storing, analyzing, and sharing vast and sensitive threat intelligence data is a challenge. Blockchain technology, with its robust and tamper-resistant properties, offers a promising solution to address these challenges. This systematic literature review explores the recent advancements and emerging trends at the intersection of CTI and blockchain technology. We reviewed research papers published during the last 5 years to investigate the various proposals, methodologies, models, and implementations related to the distributed ledger technology and how this technology can be used to collect, store, analyze, and share CTI in a secured and controlled manner, as well as how this combination can further support additional dimensions such as quality assurance, reputation, and trust. Our findings highlight the focus of the CTI and blockchain convergence on the dissemination phase in the CTI lifecycle, reflecting a substantial emphasis on optimizing the efficacy of communication and sharing mechanisms, based on an equitable emphasis on both permissioned, private blockchains and permissionless, public blockchains, addressing the diverse requirements and preferences within the CTI community. The analysis reveals a focus towards the tactical and technical dimensions of CTI, compared to the operational and strategic CTI levels, indicating an emphasis on more technical-oriented utilization within the domain of blockchain technology. The technological landscape supporting CTI and blockchain integration emerges as multifaceted, featuring pivotal roles played by smart contracts, machine learning, federated learning, consensus algorithms, IPFS, deep learning, and encryption. This integration of diverse technologies contributes to the robustness and adaptability of the proposed frameworks. Moreover, our exploration unveils the overarching significance of trust and privacy as predominant themes, underscoring their pivotal roles in shaping the landscape within our research realm. Additionally, our study addresses the maturity assessment of these integrated systems. The approach taken in evaluating maturity levels, distributed across the Technology Readiness Level (TRL) scale, reveals an average balance, indicating that research efforts span from early to mid-stages of maturity in implementation. This study signifies the ongoing evolution and maturation of research endeavors within the dynamic intersection of CTI and blockchain technology, identifies trends, and also highlights research gaps that can potentially be addressed by future research on the field. Full article
(This article belongs to the Special Issue BLockchain Enabled Sustainable Smart Cities (BLESS 2022))
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