Machine Learning-Based Intrusion Detection System for Automotive Ethernet: Detecting Cyber-Attacks with a Low-Cost Platform.
Pedro Rafael X. do CarmoPaulo Freitas de Araujo-FilhoDivanilson R. CampeloEduardo FreitasAssis T. de Oliveira FilhoDjamel Fawzi Hadj SadokPublished in: SBRC (2022)
Keyphrases
- intrusion detection system
- cyber attacks
- low cost
- machine learning
- intrusion detection
- misuse detection
- cyber security
- network security
- attack detection
- anomaly detection
- network traffic
- computer networks
- data acquisition
- embedded systems
- real time
- data mining
- distributed intrusion detection
- text classification
- active learning
- feature selection
- computer systems
- reinforcement learning
- high speed
- security policies
- knowledge discovery
- dos attacks
- model selection
- data mining techniques
- supervised learning
- countermeasures