Symmetrical simulation scheme for anomaly detection in autonomous vehicles based on LSTM model
Technological advancement has transformed traditional vehicles into autonomous vehicles.
Autonomous vehicles play an important role since they are considered an essential …
Autonomous vehicles play an important role since they are considered an essential …
Deep learning-based anomaly detection for connected autonomous vehicles using spatiotemporal information
Although connected mymargin autonomous vehicles (CAVs) hold great potential to improve
driving safety and experience significantly, cybersecurity remains a critical concern. As the …
driving safety and experience significantly, cybersecurity remains a critical concern. As the …
Deep real-time anomaly detection for connected autonomous vehicles
Connected and autonomous vehicles (CAV) are expected to change the landscape of the
automotive market. They are autonomous decision-making systems that process streams of …
automotive market. They are autonomous decision-making systems that process streams of …
[PDF][PDF] Sensor Data Based Anomaly Detection in Autonomous Vehicles using Modified Convolutional Neural Network.
S Rajendar, VK Kaliappan - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
Automated Vehicles (AVs) reform the automotive industry by enabling real-time and efficient
data exchange between the vehicles. While connectivity and automation of the vehicles …
data exchange between the vehicles. While connectivity and automation of the vehicles …
Distributed online data anomaly detection for connected vehicles
N Negi, O Jelassi, H Chaouchi… - … Conference on Artificial …, 2020 - ieeexplore.ieee.org
Wireless connectivity evolution increased the volume of acquired available data in different
Internet of Things based industries. Data quality and processing time are the most …
Internet of Things based industries. Data quality and processing time are the most …
Latte: L stm self-att ention based anomaly detection in e mbedded automotive platforms
Modern vehicles can be thought of as complex distributed embedded systems that run a
variety of automotive applications with real-time constraints. Recent advances in the …
variety of automotive applications with real-time constraints. Recent advances in the …
Detection and identification of malicious cyber-attacks in connected and automated vehicles' real-time sensors
Connected and automated vehicles (CAVs) as a part of Intelligent Transportation Systems
(ITS) are projected to revolutionise the transportation industry, primarily by allowing real-time …
(ITS) are projected to revolutionise the transportation industry, primarily by allowing real-time …
WKN-OC: a new deep learning method for anomaly detection in intelligent vehicles
Z He, Y Chen, H Zhang, D Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) play a vital role in transforming human mobility,
tackling road congestion and road safety. However, CAVs rely heavily on the security …
tackling road congestion and road safety. However, CAVs rely heavily on the security …
Anomaly detection in automated vehicles using multistage attention-based convolutional neural network
Connected and Automated Vehicles (CAVs), owing to their characteristics such as seamless
and real-time transfer of data, are imperative infrastructural advancements to realize the …
and real-time transfer of data, are imperative infrastructural advancements to realize the …
Cybersecurity for autonomous vehicles: Review of attacks and defense
As technology has evolved, cities have become increasingly smart. Smart mobility is a
crucial element in smart cities, and autonomous vehicles are an essential part of smart …
crucial element in smart cities, and autonomous vehicles are an essential part of smart …