Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles
IA Khan, N Moustafa, D Pi, W Haider… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
Anomaly detection for in-vehicle network using CNN-LSTM with attention mechanism
With the increasing connectivity between the Electronic Control Units (ECUs) and the
outside world, safety and security have become stringent problems. The Controller Area …
outside world, safety and security have become stringent problems. The Controller Area …
[HTML][HTML] A deep learning technique for intrusion detection system using a Recurrent Neural Networks based framework
SM Kasongo - Computer Communications, 2023 - Elsevier
In recent years, the spike in the amount of information transmitted through communication
infrastructures has increased due to the advances in technologies such as cloud computing …
infrastructures has increased due to the advances in technologies such as cloud computing …
[HTML][HTML] Intrusion detection system for cyberattacks in the Internet of Vehicles environment
This paper presents a novel framework for intrusion detection specially designed for
cyberattacks, such as Denial-of-Service, Distributed Denial-of-Service, Distributed Reflection …
cyberattacks, such as Denial-of-Service, Distributed Denial-of-Service, Distributed Reflection …
Convolutional neural network-based intrusion detection system for AVTP streams in automotive Ethernet-based networks
Connected and autonomous vehicles (CAVs) are an innovative form of traditional vehicles.
Automotive Ethernet replaces the controller area network and FlexRay to support the large …
Automotive Ethernet replaces the controller area network and FlexRay to support the large …
Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning
F Jin, M Chen, W Zhang, Y Yuan, S Wang - Information Sciences, 2021 - Elsevier
In recent years, the Internet of vehicles (IoV) technology becomes a research hotspot.
However, it also becomes a hotbed for malicious attacks. In the IoV, frequent data …
However, it also becomes a hotbed for malicious attacks. In the IoV, frequent data …
CAN-ADF: The controller area network attack detection framework
In recent years, there has been significant interest in developing autonomous vehicles such
as self-driving cars. In-vehicle communications, due to simplicity and reliability, a Controller …
as self-driving cars. In-vehicle communications, due to simplicity and reliability, a Controller …
Transfer learning based intrusion detection scheme for Internet of vehicles
X Li, Z Hu, M Xu, Y Wang, J Ma - Information Sciences, 2021 - Elsevier
As a new type of network, the types of attack in the Internet of Vehicles (IoV) are constantly
emerging and changing. Consequently, the machine learning based intrusion detection …
emerging and changing. Consequently, the machine learning based intrusion detection …
Can-bus attack detection with deep learning
Modern cars include a huge number of sensors and actuators, which continuously exchange
data and control commands. The most used protocol for communication of different …
data and control commands. The most used protocol for communication of different …