Using Machine Learning for Behavior-Based Access Control: Scalable Anomaly Detection on TCP Connections and HTTP Requests.
Aaron AdlerMichael J. MayhewJeffrey ClevelandMichael AtighetchiRachel GreenstadtPublished in: MILCOM (2013)
Keyphrases
- anomaly detection
- machine learning
- behavior analysis
- network anomaly detection
- detecting anomalies
- intrusion detection
- network intrusion detection
- normal behavior
- anomalous behavior
- network traffic
- unsupervised learning
- decision trees
- pattern recognition
- intrusion detection system
- detecting anomalous
- network security
- feature selection
- detect anomalies
- network intrusion
- connectionist systems
- negative selection algorithm
- object recognition
- computer security
- learning algorithm
- cumulative sum
- one class support vector machines
- neural network
- information extraction
- active learning
- data analysis
- ip networks
- pairwise
- face recognition
- data sets
- unsupervised anomaly detection