Ai-based intrusion detection systems for in-vehicle networks: A survey
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …
protocol, which still lacks the implementation of suitable security mechanisms such as …
Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks
Peer-to-peer trading is a potential future-generation energy management mechanism that
enables prosumers—electricity consumers who can generate and control their energy—to …
enables prosumers—electricity consumers who can generate and control their energy—to …
[HTML][HTML] Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
A Theissler, J Pérez-Velázquez, M Kettelgerdes… - Reliability engineering & …, 2021 - Elsevier
Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …
machine learning (ML), have enabled a broad range of applications. In the automotive …
Towards robust {LiDAR-based} perception in autonomous driving: General black-box adversarial sensor attack and countermeasures
Perception plays a pivotal role in autonomous driving systems, which utilizes onboard
sensors like cameras and LiDARs (Light Detection and Ranging) to assess surroundings …
sensors like cameras and LiDARs (Light Detection and Ranging) to assess surroundings …
[HTML][HTML] In-vehicle communication cyber security: challenges and solutions
In-vehicle communication has become an integral part of today's driving environment
considering the growing add-ons of sensor-centric communication and computing devices …
considering the growing add-ons of sensor-centric communication and computing devices …
[HTML][HTML] An advanced machine learning based energy management of renewable microgrids considering hybrid electric vehicles' charging demand
Renewable microgrids are new solutions for enhanced security, improved reliability and
boosted power quality and operation in power systems. By deploying different sources of …
boosted power quality and operation in power systems. By deploying different sources of …
[HTML][HTML] Attacks to automatous vehicles: A deep learning algorithm for cybersecurity
THH Aldhyani, H Alkahtani - Sensors, 2022 - mdpi.com
Rapid technological development has changed drastically the automotive industry. Network
communication has improved, helping the vehicles transition from completely machine-to …
communication has improved, helping the vehicles transition from completely machine-to …
CANet: An unsupervised intrusion detection system for high dimensional CAN bus data
We propose a neural network architecture for detecting intrusions on the controller area
network (CAN). The latter is the standard communication method between the electronic …
network (CAN). The latter is the standard communication method between the electronic …
Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …
safety and reduced energy consumption, pollution, and congestion. However, these engines …
A secured energy management architecture for smart hybrid microgrids considering PEM-fuel cell and electric vehicles
X Gong, F Dong, MA Mohamed, OM Abdalla… - Ieee …, 2020 - ieeexplore.ieee.org
This article assesses the energy management of reconfigurable residential smart hybrid
AC/DC microgrids considering the combined heat and power (CHP) loads as well as the …
AC/DC microgrids considering the combined heat and power (CHP) loads as well as the …