Attack and anomaly detection in IoT Networks using machine learning approaches.
Salah El HajlaEnnaji MahfoudYassine MalehSoufyane MounirPublished in: WINCOM (2023)
Keyphrases
- anomaly detection
- machine learning approaches
- network intrusion
- intrusion detection
- network anomaly detection
- machine learning methods
- anomalous behavior
- intrusion detection system
- network intrusion detection
- normal behavior
- misuse detection
- machine learning
- machine learning algorithms
- detecting anomalies
- one class support vector machines
- network traffic
- unsupervised anomaly detection
- computer networks
- normal traffic
- social networks
- computer security
- detect anomalies
- negative selection algorithm
- unsupervised learning
- data mining methods
- alert correlation
- malicious activities
- detecting anomalous
- pattern recognition
- behavior analysis
- connectionist systems
- information retrieval
- network security
- data streams
- data mining
- text classification