过去一年中添加的文章，按日期排序
[PDF][PDF] A lightweight distributed ELM-based security framework for the internet of vehicles
AU Karimy, PC Reddy - Indonesian Journal of Electrical …, 2024 - researchgate.net
57 天前 - … in vehicle technology has come with significant cybersecurity risks, specifically
through control area network (… Zhao, “An intrusion detection model based on feature reduction …
through control area network (… Zhao, “An intrusion detection model based on feature reduction …
Machine Learning-Based Systems for Intrusion Detection in VANETs
HE Idris, I Hosni - Intelligent Systems Conference, 2024 - Springer
58 天前 - … Deep learning has been used for intrusion detection, where testing revealed that it
… In order to detect intrusion, Song et al. [33] trained the in-vehicle network traffic data against …
… In order to detect intrusion, Song et al. [33] trained the in-vehicle network traffic data against …
Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
M Almehdhar, A Albaseer, MA Khan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
87 天前 - … in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). This survey
paper … Area Network (CAN) protocol, which is prevalent in in-vehicle communication systems, …
paper … Area Network (CAN) protocol, which is prevalent in in-vehicle communication systems, …
Network Traffic Anomaly Detection in CAN Bus Based on Ensemble Learning
Y Wu, X Tao - 2024 4th International Conference on Machine …, 2024 - ieeexplore.ieee.org
91 天前 - … To improve the accuracy of detecting abnormal traffic in vehicle networks, we
propose a … [6] proposed a custom intrusion detection model for in-vehicle networks using the …
propose a … [6] proposed a custom intrusion detection model for in-vehicle networks using the …
Multiple Intrusion Detection Using Shapley Additive Explanations and a Heterogeneous Ensemble Model in an Unmanned Aerial Vehicle's Controller Area Network
YW Hong, DY Yoo - Applied Sciences, 2024 - mdpi.com
94 天前 - … the field of In-Vehicle Network atack detection using deep learning … intrusion
detection verification in drone networks. This study developed an ensemble model that can detect …
detection verification in drone networks. This study developed an ensemble model that can detect …
Enhancing CAN-FD Security with an Ensemble Learning Approach for Intrusion Detection
MS Sreelekshmi, S Aji - 2023 4th International Conference on …, 2024 - ieeexplore.ieee.org
98 天前 - … in-vehicle security by providing an effective and scalable approach to intrusion
detection in CAN-FD networks… techniques for intrusion detection in CAN FD networks presents a …
detection in CAN-FD networks… techniques for intrusion detection in CAN FD networks presents a …
Cognitive Detection of Anomalies in Autonomous In-Vehicle Network Communication
S Firasta, YR Srivastava, V Rao - … International Conference on …, 2024 - ieeexplore.ieee.org
98 天前 - … complex attack patterns in CAN data, we aim to enhance intrusion detection in …
In this study, we focused on detecting anomalies in autonomous in-vehicle network …
In this study, we focused on detecting anomalies in autonomous in-vehicle network …
A practical method for identifying ECUs using differential voltage
J Lee, S Woo, Y Lee - IEEE Access, 2024 - ieeexplore.ieee.org
100 天前 - … low performance of in-vehicle systems and limitations of in-vehicle network protocols
such … Clockids: A real-time vehicle intrusion detection system based on clock skew. IEEE …
such … Clockids: A real-time vehicle intrusion detection system based on clock skew. IEEE …
Adversarial Attacks on Intrusion Detection Systems in In-Vehicle Networks of Connected and Autonomous Vehicles
105 天前 - … This study explores the vulnerabilities of machine learning-based intrusion detection
systems (IDSs) within in-vehicle networks (IVNs) to adversarial attacks, shifting focus from …
systems (IDSs) within in-vehicle networks (IVNs) to adversarial attacks, shifting focus from …