A deep learning perspective on connected automated vehicle (CAV) cybersecurity and threat intelligence

M Basnet, MH Ali - Deep Learning and Its Applications for Vehicle …, 2023 - taylorfrancis.com
The connected and autonomous vehicle (CAV) is the next-generation mobility service—
powered by intelligent automation and robust communication—which is aimed at replacing …

Guest editorial introduction to the special issue on deep learning models for safe and secure intelligent transportation systems

A Jolfaei, N Kumar, M Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The autonomous vehicular technology is approaching a level of maturity that gives
confidence to end-users in many cities around the world for their usage so as to share the …

Guest editorial: Embedded and networked systems for intelligent vehicles and robots

LL Bello, S Mubeen, S Saponara, R Mariani… - IEEE Transactions on …, 2019 - arpi.unipi.it
EMBEDDED and networked systems for intelligent vehicles and robots are expected to have
a significant economic, societal, and technological impact on industrial and automotive …

Security of connected and automated vehicles

M Chowdhury, M Islam, Z Khan - arXiv preprint arXiv:2012.13464, 2020 - arxiv.org
The transportation system is rapidly evolving with new connected and automated vehicle
(CAV) technologies that integrate CAVs with other vehicles and roadside infrastructure in a …

Cybersecurity and forensics in connected autonomous vehicles: A review of the state-of-the-art

P Sharma, J Gillanders - IEEE Access, 2022 - ieeexplore.ieee.org
Connected Autonomous Vehicles (CAVs) are transformational technologies that have
demonstrated significant potential for shaping the future of transportation systems. CAV …

Transforming Transportation: Safe & Secure Vehicular Communication & Anomaly Detection with Intelligent Cyber-Physical System & Deep Learning

HN AlEisa, F Alrowais, R Allafi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange
between moving vehicles and fixed infrastructure. While exchanging data between vehicles …

[PDF][PDF] Conceptual model for connected vehicles safety and security using big data analytics

NAM Razali, N Shamsaimon… - … Journal of Advanced …, 2020 - pdfs.semanticscholar.org
The capability of Connected Vehicles (CVs) connecting to a nearby vehicle, surrounding
infrastructure and cyberspace presents a high risk in the aspect of safety and security of the …

Internet of things and artificial intelligence-enabled secure autonomous vehicles for smart cities

DA Janeera, SSR Gnanamalar, KC Ramya… - Automotive Embedded …, 2021 - Springer
The ever-increasing count of vehicles wrecks several cities in the global scenario. Smart
cities have evolved as a winning strategy that helps to cope up with this issue and overcome …

AHDNN: Attention-Enabled Hierarchical Deep Neural Network Framework for Enhancing Security of Connected and Autonomous Vehicles

KD Gupta, DK Sharma, R Dwivedi… - Journal of Circuits …, 2023 - World Scientific
The usage of the Internet of Things (IoT) in the field of transportation appears to have
immense potential. Intelligent vehicle systems can exchange seamless information to assist …

Machine Learning for Automotive Cybersecurity: Challenges, Opportunities and Future Directions

RUD Refat, AA Elkhail, H Malik - AI-enabled Technologies for …, 2022 - Springer
Connected autonomous vehicles (CAVs) hold the promise of not only improving functional
safety but also improving mobility and the efficiency of transportation systems. CAVs can be …