Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks

The security of autonomous vehicle networks is facing major challenges, owing to the complexity of sensor integration, real-time performance demands, and distributed communication protocols that expose vast attack surfaces around both individual and network-wide safety. Existing security schemes...

Synergistic Development of Cybersecurity and Functional Safety for Smart Electric Vehicles

The introduction of Smart Electric Vehicles SEVs represents an increasingly disruption on automotive area, once integrates advanced computer and communication technologies to highly electrical cars, which come with high performances, environment friendly and user friendly characteristics . But th...

Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection

The Control Area Network CAN protocol is essential for in-vehicle communication, facilitating high-speed data exchange among Electronic Control Units ECUs. However, its inherent design lacks robust security features, rendering vehicles susceptible to cyberattacks. While recent research has...

SDN-Based False Data Detection with Its Mitigation and Machine Learning Robustness for In-Vehicle Networks

As the development of autonomous and connected vehicles advances, the complexity of modern vehicles increases, with numerous Electronic Control Units ECUs integrated into the system. In an in-vehicle network, these ECUs communicate with one another using an standard protocol called Controller Are...

CVE-2025-21443

The CVE-2025-21443 entry concerns memory corruption in eAVB when processing message content, affecting Qualcomm automotive chipsets. Technical details across connected sources align on a buffer-copy/size-check vulnerability in the eAVB processing path, leading to high-severity impact (CVE metrics...

CVE-2025-21443 Buffer Copy Without Checking Size of Input (`Classic Buffer Overflow`) in Automotive Vehicle Networks

Memory corruption while processing message content in eAVB...

CVE-2024-53028 Time-of-check Time-of-use (TOCTOU) Race Condition in Automotive Vehicle Networks

Memory corruption may occur while processing message from frontend during allocation...