Evaluation of Distributed Machine Learning Algorithms for Anomaly Detection from Large-Scale System Logs: A Case Study.
Merve AstekinHarun ZenginHasan SözerPublished in: IEEE BigData (2018)
Keyphrases
- anomaly detection
- machine learning algorithms
- benchmark data sets
- learning algorithm
- intrusion detection
- decision trees
- detecting anomalies
- anomalous behavior
- machine learning
- network traffic
- learning problems
- machine learning methods
- machine learning approaches
- network anomaly detection
- intrusion detection system
- network intrusion detection
- detect anomalies
- negative selection algorithm
- network security
- learning tasks
- computer networks
- unsupervised anomaly detection
- data sets
- machine learning models
- unsupervised learning
- detecting anomalous
- connectionist systems
- cumulative sum
- one class support vector machines
- data mining
- real world