IDS-DEC: A novel intrusion detection for CAN bus traffic based on deep embedded clustering.
Jiahao ShiZhijun XieLi DongXianliang JiangXing JinPublished in: Veh. Commun. (2024)
Keyphrases
- intrusion detection
- network traffic
- intrusion detection system
- anomaly detection
- network security
- network traffic data
- network intrusion detection
- worm detection
- high detection rate
- clustering algorithm
- computer security
- computer networks
- information security
- k means
- cyber security
- network intrusions
- data mining
- distributed intrusion detection
- unsupervised learning
- network intrusion
- artificial immune
- data points
- intrusion prevention
- data sets
- normal traffic
- detecting anomalous
- association rules
- network monitoring
- traffic data
- traffic patterns
- dos attacks
- network attacks
- data mining techniques
- data processing
- network intrusion detection systems
- training data
- learning algorithm
- traffic flow
- outlier detection