EDESC-IDS: An Efficient Deep Embedded Subspace Clustering-Based Intrusion Detection System for the Internet of Vehicles
Abstract
Anomaly detection is a vibrant research direction in controller area networks, which provides the fundamental real-time data transmission underpinning in-vehicle data interaction for the internet of vehicles. However, existin... | Find, read and cite all the research you need on Tech Science Press
Fields of Study & Subjects
Network Security and Intrusion Detection
Artificial Immune Systems Applications
IoT and GPS-based Vehicle Safety Systems
Publication details
- Journal / source
- Computers, materials & continua/Computers, materials & continua (Print)
- Volume
- 87
- Issue
- 2
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN