A survey of deep learning-based intrusion detection in automotive applications.
Brooke LampeWeizhi MengPublished in: Expert Syst. Appl. (2023)
Keyphrases
- deep learning
- intrusion detection
- intrusion detection system
- anomaly detection
- unsupervised learning
- unsupervised feature learning
- network traffic
- network security
- network intrusion detection
- machine learning
- high detection rate
- data mining
- weakly supervised
- data mining techniques
- alert correlation
- network intrusion
- information security
- databases
- data model
- detecting anomalous
- mental models
- decision trees
- bayesian networks
- multiscale
- principal component analysis
- semi supervised