Modern vehicle security: Analyzing software vulnerabilities and protection mechanisms in connected cars

The rapid digitalization of modern vehicles has introduced significant cybersecurity challenges for the automotive industry. As vehicles evolve into sophisticated cyber-physical systems, the integration of multiple electronic control units and communication networks has created extensive attack surfaces requiring robust protection mechanisms. This technical document examines the landscape of automotive cybersecurity, focusing on vulnerabilities in-vehicle networks, emerging attack vectors, and defensive measures implemented by manufacturers. The findings highlight critical areas, including Controller Area Network security, firmware protection, secure over-the-air updates, and intrusion detection systems. Additionally, the document explores emerging technologies such as AI-based anomaly detection, blockchain implementations, and quantum-resistant cryptography, providing recommendations for enhancing automotive security posture through standardized protocols and comprehensive incident response mechanisms.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17205499
Primary Topic
Agriculture, Water, and Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Modern vehicle security: Analyzing software vulnerabilities and protection mechanisms in connected cars

Zenodo (CERN European Organization for Nuclear Research)
Agriculture, Water, and Health
article

Modern vehicle security: Analyzing software vulnerabilities and protection mechanisms in connected cars

article en

Abstract

The rapid digitalization of modern vehicles has introduced significant cybersecurity challenges for the automotive industry. As vehicles evolve into sophisticated cyber-physical systems, the integration of multiple electronic control units and communication networks has created extensive attack surfaces requiring robust protection mechanisms. This technical document examines the landscape of automotive cybersecurity, focusing on vulnerabilities in-vehicle networks, emerging attack vectors, and defensive measures implemented by manufacturers. The findings highlight critical areas, including Controller Area Network security, firmware protection, secure over-the-air updates, and intrusion detection systems. Additionally, the document explores emerging technologies such as AI-based anomaly detection, blockchain implementations, and quantum-resistant cryptography, providing recommendations for enhancing automotive security posture through standardized protocols and comprehensive incident response mechanisms.

Zenodo (CERN European Organization for Nuclear Research)
General Motors (United States) (US)
Openalex Percentile: Top 52%
Agriculture, Water, and Health
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Modern vehicle security: Analyzing software vulnerabilities and protection mechanisms in connected cars · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS