IDAC: Federated Learning-Based Intrusion Detection Using Autonomously Extracted Anomalies in IoT.
Takahiro OhtaniRyo YamamotoSatoshi OhzahataPublished in: Sensors (2024)
Keyphrases
- intrusion detection
- anomaly detection
- learning process
- intrusion detection system
- network security
- artificial immune
- data mining
- high detection rate
- network intrusion detection
- supervised learning
- learning algorithm
- data mining techniques
- active learning
- reinforcement learning
- false positives and false negatives
- knowledge discovery
- data model
- computer security
- database systems
- network intrusion
- detecting anomalous
- stream data mining