Intrusion, anomaly, and attack detection in smart vehicles

ST Banafshehvaragh, AM Rahmani - Microprocessors and Microsystems, 2023 - Elsevier
With the advancement of technology and Internet penetration in all aspects of life in today's
modern world, smart vehicles, particularly connected vehicles, are rising. As a result, as …

The risks and challenges of electric vehicle integration into smart cities

O Apata, PN Bokoro, G Sharma - Energies, 2023 - mdpi.com
The integration of electric vehicles (EVs) into smart cities presents a promising opportunity
for reducing greenhouse gas emissions and enhancing urban sustainability. However, there …

[HTML][HTML] Application of meta-learning in cyberspace security: A survey

A Yang, C Lu, J Li, X Huang, T Ji, X Li… - Digital Communications …, 2023 - Elsevier
In recent years, machine learning has made great progress in intrusion detection, network
protection, anomaly detection, and other issues in cyberspace. However, these traditional …

[HTML][HTML] Automated city shuttles: Mapping the key challenges in cybersecurity, privacy and standards to future developments

M Benyahya, A Collen, S Kechagia, NA Nijdam - Computers & Security, 2022 - Elsevier
Abstract The Automated City Shuttles (ACSs) aim to shape the future public transportation
and provide more efficient and accessible mobility in smart cities. With the absence of a …

Cyber resilience of power electronics-enabled power systems: A review

J Hou, C Hu, S Lei, Y Hou - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
The demand for carbon neutrality leads to the transition from traditional synchronous
generator-based power systems to power electronics-enabled power systems. The …

Artificial Intelligence techniques to mitigate cyber-attacks within vehicular networks: Survey

A Haddaji, S Ayed, LC Fourati - Computers and Electrical Engineering, 2022 - Elsevier
Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …

Intelligent learning algorithm and intelligent transportation-based energy management strategies for hybrid electric vehicles: a review

J Gan, S Li, C Wei, L Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As one of the alternatives to conventional fuel vehicles, hybrid electric vehicles (HEV) offer
lower fuel consumption and fewer exhaust emissions. To improve the performance of the …

[PDF][PDF] Trustworthy autonomous vehicles

D Fernández Llorca, E Gómez - Publications Office of the European Union …, 2021 - invett.es
This report aims to advance the discussion on those fundamental aspects to be considered
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …

Robust kalman filter for position estimation of automated guided vehicles under cyberattacks

M Elsisi, M Altius, SF Su, CL Su - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automated guided vehicles (AGVs) have become a key part of many industries, where they
handle the task of managing material flows. As a result, they are very important targets for …

Secure time-sensitive software-defined networking in vehicles

T Häckel, P Meyer, F Korf… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Current designs of future In-Vehicle Networks (IVN) prepare for switched Ethernet
backbones, which can host advanced LAN technologies such as IEEE Time-Sensitive …