MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks.
Araya Kibrom DestaShuji OhiraIsmail AraiKazutoshi FujikawaPublished in: ITNAC (2020)
Keyphrases
- intrusion detection
- network structure
- data sets
- data mining techniques
- anomaly detection
- intrusion detection system
- data analysis
- high dimensional
- computer networks
- training data
- network security
- knowledge discovery
- data processing
- computer systems
- recurrent neural networks
- network intrusion detection
- data points
- social networks
- unsupervised learning
- computer security
- information security
- network traffic
- neural network