A Novel Deep Supervised Learning-Based Approach for Intrusion Detection in IoT Systems.
Sahba BaniasadiOmid RostamiDiego MartínMehrdad KavehPublished in: Sensors (2022)
Keyphrases
- intrusion detection
- intrusion detection system
- anomaly detection
- intrusion prevention
- supervised learning
- network security
- network intrusion detection systems
- network traffic
- network intrusion detection
- computer security
- false positives and false negatives
- cyber attacks
- reinforcement learning
- artificial immune
- high detection rate
- information security
- fraud detection
- data sets
- network intrusion
- power grids
- data mining
- information systems
- training set