Mathematical validation of proposed machine learning classifier for heterogeneous traffic and anomaly detection.
Azidine GuezzazYounes AsimiMourade AzrourAhmed AsimiPublished in: Big Data Min. Anal. (2021)
Keyphrases
- anomaly detection
- network traffic
- machine learning
- intrusion detection
- network anomaly detection
- detect anomalies
- decision trees
- feature selection
- support vector machine
- learning algorithm
- anomalous behavior
- unsupervised learning
- training data
- network intrusion detection
- intrusion detection system
- detecting anomalies
- behavior analysis
- network security
- computer security
- detecting anomalous
- computer vision
- normal traffic
- traffic flow
- one class support vector machines
- unsupervised anomaly detection
- feature space
- text classification
- network intrusion
- training set
- active learning
- malware detection
- computer networks
- computational intelligence
- data analysis
- negative selection algorithm
- support vector
- data mining
- malicious activities
- traffic patterns
- information extraction
- text mining
- pattern recognition
- connectionist systems
- neural network