Anomaly Detection for Insider Threats: An Objective Comparison of Machine Learning Models and Ensembles.
Filip Wieslaw BartoszewskiMike JustMichael A. LonesOleksii MandrychenkoPublished in: SEC (2021)
Keyphrases
- anomaly detection
- machine learning models
- computer security
- intrusion detection
- detecting anomalies
- learning models
- spam filtering
- network intrusion detection
- anomalous behavior
- one class support vector machines
- machine learning algorithms
- intrusion detection system
- machine learning approaches
- network traffic
- negative selection algorithm
- insider threat
- unsupervised learning
- support vector
- network anomaly detection
- information security
- ensemble methods
- detect anomalies
- neural network
- hidden markov models
- training data
- feature extraction
- machine learning