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Electronics
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Recent Advances in Internet of Vehicles
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Recent Advances in Internet of Vehicles

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

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 8996

Special Issue Editors

Prof. Dr. Michael Sheng

E-Mail Website
Guest Editor
School of Computing, Faculty of Science & Engineering, Macquarie University, Sydney, NSW 2109, Australia
Interests: web of things; internet of things; big data analytics; web science; service-oriented computing; pervasive computing; sensor networks
Special Issues, Collections and Topics in MDPI journals
Assoc. Prof. Dr. Jian Yu

E-Mail Website
Guest Editor
Associate Professor, Department of Computer Science, Auckland University of Technology, Auckland 1010, New Zealand
Interests: Internet computing and services computing; recommender systems and deep learning; big data ana-lytics; Internet of Things; ubiquitous computing; context-aware IoT services; complex networks
Dr. Adnan Mahmood

E-Mail Website
Guest Editor
School of Computing, Faculty of Science & Engineering, Macquarie University, Sydney, NSW 2109, Australia
Interests: internet of things; internet of vehicles; trust management; cloud, fog, and edge computing; software-defined networking; next-generation wireless networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent considerable advancements in the emerging yet promising paradigm of the Internet of Things (IoT) and its convergence with the state-of-the-art wireless communication technologies has led to the evolution of conventional vehicular ad hoc networks (VANETs) into the Internet of Vehicles (IoV). IoV is primarily an amalgamation of a variety of network entities, i.e., vehicles, vulnerable pedestrians, and supporting roadside infrastructure, and acts as a dynamic communication system for facilitating real-time efficient information sharing among these entities in order to guarantee safer navigation and intelligent traffic management. This not only entails vehicle-to-vehicle communication but also takes into consideration vehicle-to-human, vehicle-to-road, and vehicle-to-sensor interactions. Hence, the notion of IoV is presently being explored by researchers and scientists from both academia and industry; nevertheless, significant developments from a wide variety of technological facets still need to be materialized so as to unleash the true potential of IoV in the realm of the intelligent transportation system which itself is integral to the evolution of futuristic smart and connected cities.

This Special Issue, accordingly, welcomes original contributions so as to bring forth the state-of-the-art advancements in the IoV landscape. Both high-quality survey and technical contributions are welcome for this Special Issue.

Topics include but are not limited to:

  • Promising architectures and protocols for IoV
  • Emerging communication technologies for IoV (DSRC, mmWave, terahertz, etc.)
  • Security and privacy issues in IoV
  • Machine-learning-based techniques/algorithms for IoV
  • Software-defined approaches in IoV
  • Blockchain-enabled IoV
  • Trust and reputation management in IoV
  • Leveraging fog and edge computing in IoV
  • Intelligent resource management in IoV
  • Quality-of-service and quality-of-experience in IoV
  • Social IoV
  • Big data analytics in IoV
  • Autonomic service delivery in IoV
  • Testbed and simulation tools for IoV

Prof. Dr. Michael Sheng
Assoc. Prof. Dr. Jian Yu
Dr. Adnan Mahmood
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. Electronics 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 2400 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.

Keywords

  • Internet of Vehicles;
  • Heterogeneous wireless networks;
  • Software-defined networking;
  • Intelligent resource management;
  • Big data analytics;
  • Security, privacy, and quality-of-service

Published Papers (2 papers)

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22 pages, 58010 KiB  
Article
Cybersafety Approach to Cybersecurity Analysis and Mitigation for Mobility-as-a-Service and Internet of Vehicles
by Chee Wei Lee and Stuart Madnick
Electronics 2021, 10(10), 1220; https://doi.org/10.3390/electronics10101220 - 20 May 2021
Cited by 7 | Viewed by 2780
Abstract
Urban mobility is in the midst of a revolution, driven by the convergence of technologies such as artificial intelligence, on-demand ride services, and Internet-connected and self-driving vehicles. Technological advancements often lead to new hazards. Coupled with the increased levels of automation and connectivity [...] Read more.
Urban mobility is in the midst of a revolution, driven by the convergence of technologies such as artificial intelligence, on-demand ride services, and Internet-connected and self-driving vehicles. Technological advancements often lead to new hazards. Coupled with the increased levels of automation and connectivity in the new generation of autonomous vehicles, cybersecurity is emerging as a key threat affecting these vehicles. Traditional hazard analysis methods treat safety and security in isolation and are limited in their ability to account for interactions among organizational, sociotechnical, human, and technical components. In response to these challenges, the cybersafety method, based on System Theoretic Process Analysis (STPA and STPA-Sec), was developed to meet the growing need to holistically analyze complex sociotechnical systems. We applied cybersafety to coanalyze safety and security hazards, as well as identify mitigation requirements. The results were compared with another promising method known as Combined Harm Analysis of Safety and Security for Information Systems (CHASSIS). Both methods were applied to the Mobility-as-a-Service (MaaS) and Internet of Vehicles (IoV) use cases, focusing on over-the-air software updates feature. Overall, cybersafety identified additional hazards and more effective requirements compared to CHASSIS. In particular, cybersafety demonstrated the ability to identify hazards due to unsafe/unsecure interactions among sociotechnical components. This research also suggested using CHASSIS methods for information lifecycle analysis to complement and generate additional considerations for cybersafety. Finally, results from both methods were backtested against a past cyber hack on a vehicular system, and we found that recommendations from cybersafety were likely to mitigate the risks of the incident. Full article
(This article belongs to the Special Issue Recent Advances in Internet of Vehicles)
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27 pages, 723 KiB  
Review
A Survey of Trust Management in the Internet of Vehicles
by Sarah Ali Siddiqui, Adnan Mahmood, Quan Z. Sheng, Hajime Suzuki and Wei Ni
Electronics 2021, 10(18), 2223; https://doi.org/10.3390/electronics10182223 - 10 Sep 2021
Cited by 36 | Viewed by 4385
Abstract
Over the past decade, the groundbreaking technological advancements in the Internet of Vehicles (IoV) coupled with the notion of trust have attracted increasing attention from researchers and experts in intelligent transportation systems (ITS), wherein vehicles establish a belief towards their peers in the [...] Read more.
Over the past decade, the groundbreaking technological advancements in the Internet of Vehicles (IoV) coupled with the notion of trust have attracted increasing attention from researchers and experts in intelligent transportation systems (ITS), wherein vehicles establish a belief towards their peers in the pursuit of ensuring safe and efficacious traffic flows. Diverse domains have been taking advantage of trust management models in the quest of alleviating diverse insider attacks, wherein messages generated by legitimate users are altered or counterfeited by malicious entities, subsequently, endangering the lives of drivers, passengers, and vulnerable pedestrians. In the course of vehicles forming perceptions towards other participating vehicles, a range of contributing parameters regarding the interactions among these vehicles are accumulated to establish a final opinion towards a target vehicle. The significance of these contributing parameters is typically represented by associating a weighting factor to each contributing attribute. The values assigned to these weighting factors are often set manually, i.e., these values are predefined and do not take into consideration any affecting parameters. Furthermore, a threshold is specified manually that classifies the vehicles into honest and dishonest vehicles relying on the computed trust. Moreover, adversary models as an extension to trust management models in order to tackle the variants of insider attacks are being extensively emphasized in the literature. This paper, therefore, reviews the state of the art in the vehicular trust management focusing on the aforementioned factors such as quantification of weights, quantification of threshold, misbehavior detection, etc. Moreover, an overarching IoV architecture, constituents within the notion of trust, and attacks relating to the IoV have also been presented in addition to open research challenges in the subject domain. Full article
(This article belongs to the Special Issue Recent Advances in Internet of Vehicles)
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