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Topical Advisory Panel Members’ Collection Series: Smart Cities in the Digital Age: Balancing Innovation and Security

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

Deadline for manuscript submissions: 25 December 2024 | Viewed by 914

Special Issue Editors


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Guest Editor
Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
Interests: cybersecurity; cryptography; security assessment; risk management; operational technology; smart grid; smart city; smart factory; industry 4.0
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, Barcelona, Spain
Interests: cybersecurity; cryptography; security assessment; risk management; operational technology; smart grid; smart city; smart factory and industry 4.0
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue takes a comprehensive look at the security considerations and potentials of smart city development. Leading experts from a range of fields explore the cutting-edge technologies, including cryptography, blockchain, and quantum computing, and their impact on securing smart cities. We delve into the real-world implications of cyber attacks and examine the best practices for safeguarding smart city infrastructure. The roles of the government and industry in ensuring smart city security, privacy and data protection are also examined, along with the future trends that will shape this critical area. Our goal is to provide practical solutions and thought-provoking insights through case studies, surveys, and original research articles, promoting collaboration between stakeholders and addressing the key security challenges faced by smart cities.

The topics related to this collection include, but are not limited to, the following:

  • The concept and development of smart cities;
  • The role of IoT in smart city development;
  • Cybersecurity risks and challenges in smart cities;
  • Cryptography within smart city areas;
  • Blockchain and distributed ledger solutions for smart city challenges;
  • Quantum and post-quantum era in smart cities;
  • Best practices for securing smart city infrastructure;
  • The impact of cyber attacks on smart cities;
  • Privacy and data security in smart cities;
  • The role of the government and industry in ensuring smart city security;
  • Future trends in smart city security and privacy;
  • Case studies of successful smart city deployments with a focus on security.

Dr. Radek Fujdiak
Dr. Helena Rifà-Pous
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.

Published Papers (1 paper)

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Research

19 pages, 3609 KiB  
Article
Incentive Mechanism for Privacy-Preserving Collaborative Routing Using Secure Multi-Party Computation and Blockchain
by Chaojie Wang and Srinivas Peeta
Sensors 2024, 24(2), 542; https://doi.org/10.3390/s24020542 - 15 Jan 2024
Viewed by 609
Abstract
Traffic congestion results from the spatio-temporal imbalance of demand and supply. With the advances in connected technologies, incentive mechanisms for collaborative routing have the potential to provide behavior-consistent solutions to traffic congestion. However, such mechanisms raise privacy concerns due to their information-sharing and [...] Read more.
Traffic congestion results from the spatio-temporal imbalance of demand and supply. With the advances in connected technologies, incentive mechanisms for collaborative routing have the potential to provide behavior-consistent solutions to traffic congestion. However, such mechanisms raise privacy concerns due to their information-sharing and execution-validation procedures. This study leverages secure Multi-party Computation (MPC) and blockchain technologies to propose a privacy-preserving incentive mechanism for collaborative routing in a vehicle-to-everything (V2X) context, which consists of a collaborative routing scheme and a route validation scheme. In the collaborative routing scheme, sensitive information is shared through an off-chain MPC protocol for route updating and incentive computation. The incentives are then temporarily frozen in a series of cascading multi-signature wallets in case vehicles behave dishonestly or roadside units (RSUs) are hacked. The route validation scheme requires vehicles to create position proofs at checkpoints along their selected routes with the assistance of witness vehicles using an off-chain threshold signature protocol. RSUs will validate the position proofs, store them on the blockchain, and unfreeze the associated incentives. The privacy and security analysis illustrates the scheme’s efficacy. Numerical studies reveal that the proposed incentive mechanism with tuned parameters is both efficient and implementable. Full article
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