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 …
A novel and efficient framework for in-vehicle security enforcement
A Haddaji, S Ayed, LC Fourati - Ad Hoc Networks, 2024 - Elsevier
Abstract The Internet of Vehicles (IoV) has garnered significant popularity thanks to rapid
technological advancements and the widespread availability of the Internet. IoV …
technological advancements and the widespread availability of the Internet. IoV …
Risk assessment for connected vehicles under stealthy attacks on vehicle-to-vehicle networks
Cooperative Adaptive Cruise Control (CACC) is an autonomous vehicle-following
technology that allows groups of vehicles on the highway to form in tightly-coupled platoons …
technology that allows groups of vehicles on the highway to form in tightly-coupled platoons …
An overview of attacks and defences on intelligent connected vehicles
Cyber security is one of the most significant challenges in connected vehicular systems and
connected vehicles are prone to different cybersecurity attacks that endanger passengers' …
connected vehicles are prone to different cybersecurity attacks that endanger passengers' …
A stealth, selective, link-layer denial-of-service attack against automotive networks
Modern vehicles incorporate tens of electronic control units (ECUs), driven by as much as
100,000,000 lines of code. They are tightly interconnected via internal networks, mostly …
100,000,000 lines of code. They are tightly interconnected via internal networks, mostly …
Detection of missing can messages through inter-arrival time analysis
D Stabili, M Marchetti - 2019 IEEE 90th Vehicular Technology …, 2019 - ieeexplore.ieee.org
Recent cyber-attacks to real vehicles demonstrated the risks related to connected vehicles,
and spawned several research effort aimed at proposing algorithms and architectural …
and spawned several research effort aimed at proposing algorithms and architectural …
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 …
Addressing malware attacks on connected and autonomous vehicles: recent techniques and challenges
Part of the wider development and monitoring of smart environments for an intelligent cities
approach is the building of an intelligent transportation system. Such a system involves the …
approach is the building of an intelligent transportation system. Such a system involves the …
{SAID}: State-aware defense against injection attacks on in-vehicle network
Modern vehicles are equipped with many ECUs (Electronic Control Unit) that are connected
to the IVN (In-Vehicle Network) for controlling the vehicles. Meanwhile, various interfaces of …
to the IVN (In-Vehicle Network) for controlling the vehicles. Meanwhile, various interfaces of …
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 …