Pubblicazioni

Autori:

Lippi, Giuseppe; Aljawarneh, Mahmoud; Al-Na'amneh, Qais; Hazaymih, Rahaf; Dhomeja, Lachhman Das

Titolo:

Security and Privacy Challenges and Solutions in Autonomous Driving Systems: A Comprehensive Review

Anno:

2025

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Formato:

A Stampa

Referee:

Sì

Nome rivista:

Journal of Cyber Security and Risk Auditing

ISSN Rivista:

3079-5354

N° Volume:

2025

Numero o Fascicolo:

3

Intervallo pagine:

23-41

Parole chiave:

Security. Privacy, Autonomous Driving, Comprehensive Review

Breve descrizione dei contenuti:

The rapid advancement of autonomous driving technology has transformed modern transportation, offering enhanced safety, efficiency, and convenience. However, as these vehicles become increasingly connected and reliant on complex software and sensor-based systems, they also become prime targets for a wide range of cyber and privacy threats. This review paper comprehensively examines the current landscape of security and privacy in autonomous driving systems. We explore emerging attack vectors targeting key components such as sensor perception, vehicle-to-everything (V2X) communication, machine learning models, and internal control systems. Particular attention is given to adversarial machine learning, GPS spoofing, Controller Area Network (CAN) bus attacks, and data privacy breaches. In parallel, we evaluate existing defense mechanisms and mitigation strategies, including intrusion detection systems (IDS), secure communication protocols, hardware-based security modules, and privacy-preserving architectures. We also highlight key challenges in securing autonomous systems, identify gaps in current research, and propose directions for future work to build resilient and trustworthy autonomous vehicles. This review aims to provide researchers and practitioners with a consolidated foundation for understanding and advancing the security posture of next-generation autonomous driving technologies.

Pagina Web:

https://www.jcsra.thestap.com/archives/volume-2025-3/6818e8089d598c59e2e5cab2

Id prodotto:

145730

Handle IRIS:

11562/1161707

ultima modifica:

16 maggio 2025

Citazione bibliografica:

Lippi, Giuseppe; Aljawarneh, Mahmoud; Al-Na'amneh, Qais; Hazaymih, Rahaf; Dhomeja, Lachhman Das, Security and Privacy Challenges and Solutions in Autonomous Driving Systems: A Comprehensive Review «Journal of Cyber Security and Risk Auditing» , vol. 2025 , n. 3 , 2025 , pp. 23-41

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