A Framework for Tunable Anomaly Detection.
Md Rakibul AlamIlias GerostathopoulosChristian PrehoferAlessandro AttanasiTomás BuresPublished in: ICSA (2019)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- data assimilation
- network security
- network traffic
- behavior analysis
- feature extraction
- data sets
- probabilistic model
- data analysis
- object recognition
- genetic algorithm
- machine learning
- computer security
- malware detection
- real world
- neural network