Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence

G Bendiab, A Hameurlaine, G Germanos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …

Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions

A Giannaros, A Karras, L Theodorakopoulos… - … of Cybersecurity and …, 2023 - mdpi.com
Autonomous vehicles (AVs), defined as vehicles capable of navigation and decision-making
independent of human intervention, represent a revolutionary advancement in transportation …

Blockchain for industry 5.0: Vision, opportunities, key enablers, and future directions

A Verma, P Bhattacharya, N Madhani, C Trivedi… - Ieee …, 2022 - ieeexplore.ieee.org
Industry 4.0 have witnessed a paradigm shift from cyber-physical systems (CPS) that aims at
massive automation, to a more customer-driven approach. The shift has been attributed to …

[HTML][HTML] A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics

K Kušić, R Schumann, E Ivanjko - Advanced Engineering Informatics, 2023 - Elsevier
The introduction of digital twins is expected to fundamentally change the technology in
transportation systems, as they appear to be a compelling concept for monitoring the entire …

The algorithmic governance of autonomous driving behaviors: Multi-sensor data fusion, spatial computing technologies, and movement tracking tools

M Kovacova, J Oláh, J Popp, E Nica - Contemporary Readings in Law …, 2022 - ceeol.com
This paper provides a systematic literature review of studies investigating autonomous
driving technologies, lane detection algorithms, and adaptive and dynamic route planning …

Network approaches in blockchain-based systems: Applications, challenges, and future directions

C Wang, J Zhao - Computer Communications, 2023 - Elsevier
Blockchain technology represents a transformative innovation that facilitates the storage,
dissemination, and access of vital information within a distributed database framework …

Security of 6G enabled vehicle-to-everything communication in emerging federated learning and blockchain technologies

M Kim, I Oh, K Yim, M Sahlabadi, Z Shukur - IEEE Access, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) communication is emerging as a seamless and massive connection of
almost all digital devices. Vehicles, which are extensively linked with human mobility, must …

Collaborative Perception—The Missing Piece in Realizing Fully Autonomous Driving

S Malik, MJ Khan, MA Khan, H El-Sayed - Sensors, 2023 - mdpi.com
Environment perception plays a crucial role in enabling collaborative driving automation,
which is considered to be the ground-breaking solution to tackling the safety, mobility, and …

Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis

SHA Kazmi, F Qamar, R Hassan, K Nisar… - Computer Networks, 2024 - Elsevier
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …

Multilevel data and decision fusion using heterogeneous sensory data for autonomous vehicles

HA Ignatious, H El-Sayed, P Kulkarni - Remote Sensing, 2023 - mdpi.com
Autonomous vehicles (AVs) are predicted to change transportation; however, it is still difficult
to maintain robust situation awareness in a variety of driving situations. To enhance AV …