A Review on Connected Vehicle Cyber-Attacks and Various Intrusion Detection Techniques

In today’s world, self-driving and connected vehicles are becoming more interconnected with the internet. This integration allows for many features and services, such as cellular service, Wi-Fi, and Bluetooth. However, this increased connectivity comes with increased vulnerability to cyber threats, making automotive systems more attractive targets for potential cyber-attacks. It is imperative to prioritize intrusion detection when securing the network of vehicles, particularly self-driving cars, and vehicles with open connectivity. This paper presents an overview of cyber-attacks that can threaten connected and autonomous vehicles and various intrusion detection techniques used to avoid them.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-04
DOI
https://doi.org/10.5281/zenodo.15803861
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.00
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article

A Review on Connected Vehicle Cyber-Attacks and Various Intrusion Detection Techniques

Zenodo (CERN European Organization for Nuclear Research)
Vehicular Ad Hoc Networks (VANETs)
article

A Review on Connected Vehicle Cyber-Attacks and Various Intrusion Detection Techniques

article en

Abstract

In today’s world, self-driving and connected vehicles are becoming more interconnected with the internet. This integration allows for many features and services, such as cellular service, Wi-Fi, and Bluetooth. However, this increased connectivity comes with increased vulnerability to cyber threats, making automotive systems more attractive targets for potential cyber-attacks. It is imperative to prioritize intrusion detection when securing the network of vehicles, particularly self-driving cars, and vehicles with open connectivity. This paper presents an overview of cyber-attacks that can threaten connected and autonomous vehicles and various intrusion detection techniques used to avoid them.

Zenodo (CERN European Organization for Nuclear Research)
Federal University of Technology Minna (NG)
Openalex Percentile: Top 55%
Vehicular Ad Hoc Networks (VANETs)
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