Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/120994
Title: Advancements and Cybersecurity Strategies in V2X Communication and Transport System for Electric and Connected Vehicles Using IoT and AI
Author(s): Muniyappan, Hema
Sankarappan, Pavithra
Muhram, La Ode
Farih, Muhamad
Saravanaperumal, Aarthi
Sharma, Shubham
Imran, Arkan Adnan
Granting Institution: Hochschule Anhalt
Issue Date: 2025-07-26
Extent: 1 Online-Ressource (8 Seiten)
Language: English
Abstract: Vehicle-to-Everything (V2X) communication has emerged as one of the transformative technologies that the automobile sector needs: it concerns with present day exchange of information between two or more vehicles, facilities, and anything that aims at enhancing safety on the roads, flow of traffic and driving in general. According to the specifications provided by 5G, edge computing, and IoT in V2X systems, the EVs gain the development opportunity of collision avoidance, traffic optimization, and energy management. On the other hand, these developments brought forward cybersecurity weaknesses: and the jamming and spoofing attacks and DDoS attacks with which reliability and safety of V2X systems is threatened. In the present paper, the particular attention will be given by the author to outlining the newest technology trends and cyber security frameworks responses to the threats found in defending the channels in the V2X system– current and future. It lists relatively broad topics as the following general topics: authentication schemes applicable for V2X networks, encryption techniques that can be used in V2X communication link, and IDS system that can be implemented for V2X networks. More importantly, it demonstrates how AI can enhance the security of the vehicular network and realistic legislation may construct a foundation for V2X cyber security. This work explains research toward developing a secure V2X environment for readiness in integrated transport system with safer, efficient and sustainable methods.
URI: https://opendata.uni-halle.de//handle/1981185920/122949
http://dx.doi.org/10.25673/120994
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Appears in Collections:International Conference on Applied Innovations in IT (ICAIIT)

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