Experimentation with Local Intrusion Detection in IoT Networks Using Supervised Learning.
Christiana IoannouVasos VassiliouPublished in: DCOSS (2020)
Keyphrases
- intrusion detection
- supervised learning
- intrusion detection system
- anomaly detection
- network security
- network traffic
- detecting anomalous
- unsupervised learning
- computer networks
- network intrusion
- network intrusion detection
- high detection rate
- data mining
- computer security
- semi supervised
- alert correlation
- reinforcement learning
- false positives and false negatives
- network structure
- information security
- network attacks
- cyber security
- artificial immune
- network intrusion detection systems
- intrusion detection and prevention
- data mining techniques
- training set
- training data
- social networks
- databases
- data processing
- knowledge discovery
- object recognition
- learning algorithm
- data sets