A Comparative Study and a New Industrial Platform for Decentralized Anomaly Detection Using Machine Learning Algorithms.
Fabian GerzTolga Renan BastürkJulian KirchhoffJoachim DenkerLou'i Al-ShroufMohieddine JelaliPublished in: IJCNN (2022)
Keyphrases
- machine learning algorithms
- anomaly detection
- benchmark data sets
- intrusion detection
- decision trees
- learning algorithm
- detecting anomalies
- anomalous behavior
- machine learning
- machine learning methods
- learning problems
- network intrusion detection
- unsupervised anomaly detection
- intrusion detection system
- learning tasks
- machine learning approaches
- network traffic
- network anomaly detection
- machine learning models
- statistical machine learning
- detect anomalies
- neural network
- one class support vector machines
- detecting anomalous
- standard machine learning algorithms
- naive bayes
- unsupervised learning
- network security
- connectionist systems
- cumulative sum