Intelligent Transportation and Vehicular Ad Hoc Networks

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

Deadline for manuscript submissions: closed (29 October 2021) | Viewed by 3876

Special Issue Editors

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Guest Editor
School of Computer Science and Informatics, De Montfort University, The Gateway, Leicester LE1 9BH, UK
Interests: vehicular ad hoc networks; driver behaviour; cyber security

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Guest Editor
School of Architecture, Computing and Engineering, University of East London, London E16 2RD, UK
Interests: smart cities; artificial intelligence; innovative telehealth; medical technology; digital health care and medical assistive technology; intelligent diagnosis systems; smart biomedical images; bio-signal acquisition

Special Issue Information

Dear Colleagues,

More than any other time before, the number of vehicles, in particular road vehicles, has increased significantly in cities, causing major issues such as congestion and increased CO2 emissions. Transportation is now one of the main contributors of nitrogen oxide and carbon monoxide emissions into our air. Both vehicular ad hoc networks (VANETs) and intelligent transportation are blooming thanks to the significant advantages they offer, prompting better community services, reductions in energy demand, intelligent connectivity and government efficiency, which, in turn, improve our daily lives and public safety. Both concepts include many advanced technologies, such as radio access technologies, 5G, radars, cameras, AI software and HD maps, which are used for managing a large amount of information in order to face these challenges. A VANET is classified as an application of a mobile ad hoc network (MANET) that has the potential to improve road safety and connectivity by providing comfort for travellers. Recently, VANETs have emerged to turn the attention of researchers to the field of wireless and mobile communications; they differ from MANETs by their architecture, challenges, characteristics and applications.

With the emergence of companies such as Tesla, Uber, Lyft and Didi, there are a wide range of services, such as ride hailing, that have now become part of our daily travel options. The autonomous vehicle has introduced itself as a significant pillar in today’s intelligent transportation concepts and will revolutionise the way people consider transportation and liberate travellers from the conventional methods of travel.

In this Special Issue, we propose to cover the different technologies involved in the area of intelligent transportation and VANETs to identify where we stand in terms of complete vehicle autonomy and what the future holds. Therefore, the topics of interest for this Special Issue include, but are not limited to:

  • Radio access technology/emerging V2X communication
  • 5G, RFID and IoT technologies for connected vehicles
  • Electric/autonomous vehicles of land/water/air
  • Vehicle control/sensor technologies
  • Smart mobility/traffic control/traffic management
  • Cyber security, privacy, liability and dependability of intelligent transportation
  • Hardware and software platforms for the simulation, emulation, prototyping, measurement and/or real-world deployment of intelligent transportation
  • VANET applications
  • Driver behaviour
  • Deep learning and artificial intelligence
  • Advanced driver assistance systems (ADASs)
  • Critical and safety applications
  • Zero-emission electric vehicles

We look forward to receiving your submissions for this Special Issue.

Assoc. Prof. Dr. Ali Hilal Al-Bayatti
Dr. Saeed Sharif
Dr. Leandros Maglaras
Guest Editors

Manuscript Submission Information

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  • vehicular ad hoc networks
  • intelligent transportation systems
  • autonomous vehicles
  • advanced driver assistance systems (ADASs)
  • cyber security
  • deep learning and artificial intelligence
  • safety applications
  • radio access technology
  • reducing CO2 emissions
  • mobility as a service (MaaS)

Published Papers (1 paper)

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14 pages, 2500 KiB  
Improved Chaff-Based CMIX for Solving Location Privacy Issues in VANETs
by Mishri Saleh Al-Marshoud, Ali H. Al-Bayatti and Mehmet Sabir Kiraz
Electronics 2021, 10(11), 1302; - 30 May 2021
Cited by 5 | Viewed by 2713
Safety application systems in Vehicular Ad-hoc Networks (VANETs) require the dissemination of contextual information about the scale of neighbouring vehicles; therefore, ensuring security and privacy is of utmost importance. Vulnerabilities in the messages and the system’s infrastructure introduce the potential for attacks that [...] Read more.
Safety application systems in Vehicular Ad-hoc Networks (VANETs) require the dissemination of contextual information about the scale of neighbouring vehicles; therefore, ensuring security and privacy is of utmost importance. Vulnerabilities in the messages and the system’s infrastructure introduce the potential for attacks that lessen safety and weaken passengers’ privacy. The purpose of short-lived anonymous identities, called “pseudo-identities”, is to divide the trip into unlinkable short passages. Researchers have proposed changing pseudo-identities more frequently inside a pre-defined area, called a cryptographic mix-zone (CMIX) to ensure enhanced protection. According to ETSI ITS technical report recommendations, the researchers must consider the low-density scenarios to achieve unlinkability in CMIX. Recently, Christian et al. proposed a Chaff-based CMIX scheme that sends fake messages under the consideration of low-density conditions to enhance vehicles’ privacy and confuse attackers. To accomplish full unlinkability, in this paper, we first show the following security and privacy vulnerabilities in the Christian et al. scheme: Linkability attacks outside the CMIX may occur due to deterministic data sharing during the authentication phase (e.g., duplicate certificates for each communication). Adversaries may inject fake certificates, which breaks Cuckoo Filters’ (CFs) updates authenticity, and the injection may be deniable. CMIX symmetric key leakage outside the coverage may occur. We propose a VPKI-based protocol to mitigate these issues. First, we use a modified version of Wang et al.’s scheme to provide mutual authentication without revealing the real identity. To this end, the messages of a vehicle are signed with a different pseudo-identity “certificate”. Furthermore, the density is increased via the sending of fake messages in low traffic periods to provide unlinkability outside the mix-zone. Second, unlike Christian et al.’s scheme, we use the Adaptive Cuckoo Filter (ACF) instead of CF to overcome the false positives’ effect on the whole filter. Moreover, to prevent any alteration of the ACFs, only RUSs distribute the updates, and they sign the new fingerprints. Third, the mutual authentication prevents any leakage from the mix zones’ symmetric keys by generating a fresh one for each communication through a Diffie–Hellman key exchange. Full article
(This article belongs to the Special Issue Intelligent Transportation and Vehicular Ad Hoc Networks)
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