Ad Hoc Networks Combined with Blockchain for Web 3.0: System Design, Security, Privacy and AI-Driven Optimization

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 1531

Special Issue Editors

School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK
Interests: distributed system; consensus mechanism; stochastic modeling; AI-driven optimization; distributed AI system; trust and security; blockchain; Internet of Things/Vehicles; cloud/edge systems; tools and platforms

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Guest Editor
Department of Computer Science, NC State University, Raleigh, NC 27695, USA
Interests: Internet of Things; cloud/edge computing; smart networking; algorithms and optimization; distributed machine learning; security and privacy; blockchain, quantum networking

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Guest Editor
Department of Software Engineering, East China Normal University, Shanghai 200062, China
Interests: big data security and privacy; blockchain-based applications; crowdsourcing/mobile crowdsensing
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Special Issue Information

Dear Colleagues,

Vehicular Ad Hoc Networks (VANETs), which apply mobile ad hoc networks to the vehicular scenario, have promoted advances in intelligent transportation systems (ITSs). Conventional VANET architectures rely on a centralized trusted authority (TA) for vehicle registration and revocation, as well as for key management. Road-Side Units (RSUs), deployed by mobile network operators, collect abundant traffic information from vehicles. Vehicles encounter severe security and privacy threats due to central trust; meanwhile, they lose control of their generated data. Web 3.0, as the next version of the web powered by blockchain and artificial intelligence (AI), envisions a decentralized, autonomously controlled, intelligent, and de-trusted service paradigm. The integration of blockchain and AI into VANETs has the potential to significantly transform communication and interactions among vehicles, revolutionize the VANET architecture and trust models, and enhance VANET security and privacy within the context of Web 3.0. VANETs can benefit from improved security, privacy preservation, reliable consensus mechanisms, and enhanced interoperability.

This Special Issue aims to examine the utilization of blockchain technology in VANETs for potential opportunities in constructing novel and decentralized VANET system architectures, secure and decentralized key management protocols, anonymous vehicle authentication and reputation management with no central trust, and secure AI-driven VANET optimization solutions for Web 3.0.

We intend to cover various critical aspects regarding the synergy of VANETs, blockchain, and AI. The objective is to foster advancements towards safer, more efficient, and user-centric and user-controlled mobility ecosystems. Researchers are invited to contribute original research articles, case studies, and reviews that explore the potential opportunities and challenges associated with the application of blockchain technology in VANETs within the evolving landscape of Web 3.0. Topics of interest include, but are not limited to:

 - Novel decentralized VANET architectures for Web 3.0;

 - Secure and efficient consensus protocols for VANETs;

 - VANET smart contract design and security;

 - Blockchain-based decentralized key management in VANETs;

 - Blockchain-based anonymous vehicle authentication and revocation;

 - Blockchain-based trust and reputation model for VANETs;

 - Security and privacy in VANETs;

 - VANET system scalability;

 - Self-driving vehicles;

 - Blockchain-AI integration for VANETs;

 - AI-driven optimization for VANETs;

 - Decentralized machine learning and reinforcement learning;

 - Blockchain-based software development.

Dr. Xiao Chen
Dr. Ruozhou Yu
Dr. Haiqin Wu
Guest Editors

Manuscript Submission Information

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Keywords

  • blockchain
  • VANETs
  • AI
  • security and privacy
  • Web 3.0
  • smart contracts
  • consensus mechanism
  • decentralization and de-trust

Published Papers (1 paper)

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Research

30 pages, 1556 KiB  
Article
Enhancing Privacy Preservation in Vehicular Trust Management Systems through Blockchain Technology
by Nian Jin, Kun Meng, Jie Ding, Lijun Sun, Haiqin Wu and Xiao Chen
Electronics 2023, 12(24), 4949; https://doi.org/10.3390/electronics12244949 - 9 Dec 2023
Viewed by 1003
Abstract
The advent of the Internet of Vehicles (IoV) has led to a significant surge in data generation from vehicles, prompting the innovative utilization of data transactions within the IoV environment. However, due to the inherent trustless nature of data transactions in IoV, concerns [...] Read more.
The advent of the Internet of Vehicles (IoV) has led to a significant surge in data generation from vehicles, prompting the innovative utilization of data transactions within the IoV environment. However, due to the inherent trustless nature of data transactions in IoV, concerns have arisen regarding the lack of trust between involved parties and the potential compromise of user privacy. To address these issues, blockchain technology emerges as a suitable decentralized distributed storage and security management solution, offering transparency and security in data transactions. In this study, we leverage blockchain to integrate with the IoV, devising a robust trust management framework, and devising a privacy protection scheme to safeguard user privacy concerns. Additionally, we employ the performance evaluation process algebra (PEPA) method for system modeling and performance analysis to assess the efficacy of our proposed solution. Empirical findings demonstrate that our approach effectively enhances the performance of data transactions within the IoV while ensuring that the privacy of users remains intact. Full article
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