[HTML][HTML] In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches
F Luo, J Wang, X Zhang, Y Jiang, Z Li, C Luo - PeerJ Computer Science, 2023 - peerj.com
Developments in connected and autonomous vehicle technologies provide drivers with
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …
Machine Learning based intrusion detection systems for connected autonomous vehicles: A survey
J Nagarajan, P Mansourian, MA Shahid… - Peer-to-Peer Networking …, 2023 - Springer
Abstract Connected and Autonomous Vehicles (CAVs) expect to dramatically improve road
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …
Experimental analysis of trustworthy in-vehicle intrusion detection system using explainable artificial intelligence (xai)
Anomaly-based In-Vehicle Intrusion Detection System (IV-IDS) is one of the protection
mechanisms to detect cyber attacks on automotive vehicles. Using artificial intelligence (AI) …
mechanisms to detect cyber attacks on automotive vehicles. Using artificial intelligence (AI) …
[HTML][HTML] Using deep learning networks to identify cyber attacks on intrusion detection for in-vehicle networks
HC Lin, P Wang, KM Chao, WH Lin, JH Chen - Electronics, 2022 - mdpi.com
With rapid advancements in in-vehicle network (IVN) technology, the demand for multiple
advanced functions and networking in electric vehicles (EVs) has recently increased. To …
advanced functions and networking in electric vehicles (EVs) has recently increased. To …
[HTML][HTML] can-train-and-test: A Curated CAN Dataset for Automotive Intrusion Detection
When it comes to in-vehicle networks (IVNs), the controller area network (CAN) bus
dominates the market; automobiles manufactured and sold worldwide depend on the CAN …
dominates the market; automobiles manufactured and sold worldwide depend on the CAN …
DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering
P Cheng, M Han, G Liu - Future Generation Computer Systems, 2023 - Elsevier
Controller area network (CAN) is a widely used communication protocol for in-vehicle
networks. With the up-gradation of traditional vehicle ad-hoc networks (VANETs) to the …
networks. With the up-gradation of traditional vehicle ad-hoc networks (VANETs) to the …
Ttids: Transmission-resuming time-based intrusion detection system for controller area network (can)
Modern vehicles are becoming complex cyber-physical systems equipped with numerous
electronic control units (ECUs). Over the controller area network (CAN), these ECUs …
electronic control units (ECUs). Over the controller area network (CAN), these ECUs …
CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level
Modern vehicles rely on a fleet of electronic control units (ECUs) connected through
controller area network (CAN) buses for critical vehicular control. With the expansion of …
controller area network (CAN) buses for critical vehicular control. With the expansion of …
[HTML][HTML] CrySyS dataset of CAN traffic logs containing fabrication and masquerade attacks
Despite their known security shortcomings, Controller Area Networks are widely used in
modern vehicles. Research in the field has already proposed several solutions to increase …
modern vehicles. Research in the field has already proposed several solutions to increase …
Detecting can masquerade attacks with signal clustering similarity
Vehicular Controller Area Networks (CANs) are susceptible to cyber attacks of different
levels of sophistication. Fabrication attacks are the easiest to administer--an adversary …
levels of sophistication. Fabrication attacks are the easiest to administer--an adversary …