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Sustainability
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Evolving Applications for Smart Vehicles
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Evolving Applications for Smart Vehicles

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1567

Special Issue Editors

Dr. Hoon Ko

E-Mail Website
Guest Editor
1. The Department of AI, Chosun University, Chosundaegil 146 (Seo-seok-dong), Dong-gu, Gwangju 61452, Republic of Korea
2. Security R & D Centre, CMT Info & Comm Co. Ltd., 37 Seongsu-ro 22-gil, Seongdong-gu, Seoul 04798, Republic of Korea
Interests: cyber-security; smart-city; human relationship based on contexts
Special Issues, Collections and Topics in MDPI journals
Dr. Kiho Lim

E-Mail Website
Guest Editor
Department of Computer Science, William Paterson University, Wayne, New Jersey 07470, USA
Interests: vehicular communication; network security; Internet of Things; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues:

The Special Issue, named ‘Evolving Applications for Smart vehicles’, focuses on work that examines the mutually influential relationship between humans and humans, humans and smart devices and a smart device and smart device in smart vehicles. Smart vehicles str expected to change and expand people's lifestyles. A reduction in vehicle crime, traffic accidents and vehicle theft are examples, but since this is a structure that is connected based on a vehicle network, cyber-attacks are increasing, and more advanced applications are required. In addition, it is necessary to defend against evolving attacks and respond to evolving demand services. After all, the expansion of user needs and emergence of new IoT devices require the evolution of autonomous vehicle application services.

Therefore, this Special Issue intends to publish a research paper on evolutionary application services that recognizes the current situation of autonomous vehicles and predicts the future situation.

Potential topics include but are not limited to the following:

  • Smart vehicle networks and communications;
  • Challenges and opportunities for evolving applications;
  • Evolving cyber-attacks/anomaly detection;
  • Vehicular sensing and positioning services;
  • Technologies for next0generation smart vehicles;
  • V2V, V2I, and V2X communications and networking;
  • Wireless technologies for smart vehicles;
  • Architectures, algorithms, and protocols;
  • Data management techniques and services;
  • Networked information processing, decision-making, and intelligent control;
  • Energy network and services for smart vehicles;
  • Meta-analysis.

I/We look forward to receiving your contributions.

Dr. Hoon Ko
Dr. Kiho Lim
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. Sustainability 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

  • cybersecurity
  • smart city
  • human relationship
  • relational contexts
  • meta-analysis

Published Papers (1 paper)

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Research

18 pages, 3054 KiB  
Article
A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking
by Arif Hussain Magsi, Leanna Vidya Yovita, Ali Ghulam, Ghulam Muhammad and Zulfiqar Ali
Sustainability 2023, 15(14), 10931; https://doi.org/10.3390/su151410931 - 12 Jul 2023
Cited by 8 | Viewed by 1125
Abstract
Named data networking (NDN) is gaining momentum in vehicular ad hoc networks (VANETs) thanks to its robust network architecture. However, vehicular NDN (VNDN) faces numerous challenges, including security, privacy, routing, and caching. Specifically, the attackers can jeopardize vehicles’ cache memory with a Content [...] Read more.
Named data networking (NDN) is gaining momentum in vehicular ad hoc networks (VANETs) thanks to its robust network architecture. However, vehicular NDN (VNDN) faces numerous challenges, including security, privacy, routing, and caching. Specifically, the attackers can jeopardize vehicles’ cache memory with a Content Poisoning Attack (CPA). The CPA is the most difficult to identify because the attacker disseminates malicious content with a valid name. In addition, NDN employs request–response-based content dissemination, which is inefficient in supporting push-based content forwarding in VANET. Meanwhile, VNDN lacks a secure reputation management system. To this end, our contribution is three-fold. We initially propose a threshold-based content caching mechanism for CPA detection and prevention. This mechanism allows or rejects host vehicles to serve content based on their reputation. Secondly, we incorporate a blockchain system that ensures the privacy of every vehicle at roadside units (RSUs). Finally, we extend the scope of NDN from pull-based content retrieval to push-based content dissemination. The experimental evaluation results reveal that our proposed CPA detection mechanism achieves a 100% accuracy in identifying and preventing attackers. The attacker vehicles achieved a 0% cache hit ratio in our proposed mechanism. On the other hand, our blockchain results identified tempered blocks with 100% accuracy and prevented them from storing in the blockchain network. Thus, our proposed solution can identify and prevent CPA with 100% accuracy and effectively filters out tempered blocks. Our proposed research contribution enables the vehicles to store and serve trusted content in VNDN. Full article
(This article belongs to the Special Issue Evolving Applications for Smart Vehicles)
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