DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks
W Ding, I Alrashdi, H Hawash, M Abdel-Basset - Information Sciences, 2024 - Elsevier
Autonomous driving (AD) technologies are becoming increasingly popular, promising
significant enhancements in road safety and efficiency. However, the susceptibility of …
significant enhancements in road safety and efficiency. However, the susceptibility of …
In-vehicle network attack detection across vehicle models: A supervised-unsupervised hybrid approach
S Nakamura, K Takeuchi, H Kashima… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Recent studies have demonstrated that the injection of malicious messages into in-vehicle
networks can cause unintended operation of the controls of vehicles, which has been …
networks can cause unintended operation of the controls of vehicles, which has been …
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 …
Auto-Updating Intrusion Detection System for Vehicular Network: A Deep Learning Approach Based on Cloud-Edge-Vehicle Collaboration
Intrusion detection systems play a crucial role in ensuring the safety of vehicle driving.
Traditional intrusion detection systems face challenges in efficiently extracting key features …
Traditional intrusion detection systems face challenges in efficiently extracting key features …
CANGuard: Practical intrusion detection for in-vehicle network via unsupervised learning
W Zhou, H Fu, S Kapoor - 2021 IEEE/ACM Symposium on Edge …, 2021 - ieeexplore.ieee.org
Modern vehicles are becoming more advanced recently by incorporating new functionalities,
such as V2X, more connectivity and autonomous driving. However, these new things also …
such as V2X, more connectivity and autonomous driving. However, these new things also …
An unsupervised learning approach for in-vehicle network intrusion detection
N Leslie - 2021 55th Annual Conference on Information …, 2021 - ieeexplore.ieee.org
In-vehicle networks remain largely unprotected from a myriad of vulnerabilities to failures
caused by adversarial activities. Remote attacks on the SAE J1939 protocol based on …
caused by adversarial activities. Remote attacks on the SAE J1939 protocol based on …
DivaCAN: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning
The controller area network (CAN) protocol is a critical communication mechanism in
vehicular systems. However, the widespread adoption of this protocol has introduced …
vehicular systems. However, the widespread adoption of this protocol has introduced …
CASAD: CAN-aware stealthy-attack detection for in-vehicle networks
Nowadays, vehicles have complex in-vehicle networks (IVNs) with millions of lines of code
controlling almost every function in the vehicle including safety-critical functions. It has …
controlling almost every function in the vehicle including safety-critical functions. It has …
Candito: improving payload-based detection of attacks on controller area networks
S Longari, CA Pozzoli, A Nichelini, M Carminati… - … Symposium on Cyber …, 2023 - Springer
Over the years, the increasingly complex and interconnected vehicles raised the need for
effective and efficient Intrusion Detection Systems against on-board networks. In light of the …
effective and efficient Intrusion Detection Systems against on-board networks. In light of the …
Analysis of recent deep-learning-based intrusion detection methods for in-vehicle network
K Wang, A Zhang, H Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The development and popularity of vehicle-to-everything communication have caused more
risks to the in-vehicle networks security. As a result, an increasing number of various and …
risks to the in-vehicle networks security. As a result, an increasing number of various and …