A survey and classification of the security anomaly detection mechanisms in software defined networks.
Tohid JafarianMohammad MasdariAli GhaffariKambiz MajidzadehPublished in: Clust. Comput. (2021)
Keyphrases
- anomaly detection
- intrusion detection
- computer security
- network security
- computer network security
- detecting anomalies
- anomalous behavior
- network intrusion detection
- unsupervised learning
- intrusion detection system
- pattern recognition
- malware detection
- detecting anomalous
- network traffic
- computer networks
- detect anomalies
- unsupervised anomaly detection
- decision trees
- feature extraction
- computer systems
- machine learning
- network intrusion
- feature space
- support vector machine
- information security
- support vector
- one class support vector machines
- network anomaly detection
- malicious activities
- reinforcement learning
- bayesian networks
- identity theft
- training set
- negative selection algorithm
- cost sensitive
- misuse detection
- data sets