Connected and autonomous vehicles (CAVs) are vulnerable to security gaps that can result in serious consequences, including cyber-physical and privacy risks. For example, an …
MR Islam, M Sahlabadi, K Kim, Y Kim, K Yim - IEEE Access, 2023 - ieeexplore.ieee.org
Many studies have focused on obtaining high accuracy in the design of Intrusion Detection Systems (IDS) for in-vehicle networks, neglecting the significance of different intensive …
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 …
The growing reliance on software in vehicles has given rise to the concept of Software- Defined Vehicles (SDVs), fundamentally reshaping the vehicles and the automotive industry …
R Tian, P Gao, Y Liu - Frontiers of Information Technology & Electronic …, 2024 - Springer
As one of the essential tools for spatio–temporal traffic data mining, vehicle trajectory clustering is widely used to mine the behavior patterns of vehicles. However, uploading …
J Le, B Xing, D Zhang, D Qiao - Mathematics, 2024 - mdpi.com
The real-time sharing of traffic data can offer improved services to users and timely respond to environmental changes. However, this data often involves individuals' sensitive …
In-vehicle infotainment (IVI) platforms are getting increasingly connected. Besides Original Equipment Manufacturer (OEM) apps and services, the next generation of IVI platforms are …
MR Islam, K Yusupov, M Batzorig, I Oh… - … Conference on Innovative …, 2024 - Springer
This study delves into leveraging Controller Area Network (CAN) data to detect and analyze abnormal driving patterns, underlining its significant role in bolstering road safety measures …