Attack and Anomaly Detection in IoT Networks Using Supervised Machine Learning Approaches.
Himani TyagiRajendra KumarPublished in: Rev. d'Intelligence Artif. (2021)
Keyphrases
- anomaly detection
- machine learning approaches
- unsupervised learning
- intrusion detection
- network anomaly detection
- network intrusion
- machine learning methods
- machine learning
- detecting anomalies
- normal behavior
- network traffic
- unsupervised anomaly detection
- network intrusion detection
- machine learning algorithms
- misuse detection
- intrusion detection system
- normal traffic
- semi supervised
- anomalous behavior
- behavior analysis
- computer networks
- computer security
- learning algorithm
- one class support vector machines
- supervised learning
- network security
- negative selection algorithm
- self organizing maps
- real world
- alert correlation
- social networks
- feature selection
- data mining methods
- decision trees
- preprocessing
- pairwise
- connectionist systems
- support vector machine