Real-Time Anomaly Detection for Distributed Systems Logs Using Apache Kafka and H2O.ai.
Kestutis DaugelaEvaldas VaiciukynasPublished in: ICIST (2022)
Keyphrases
- distributed systems
- anomaly detection
- real time
- real time systems
- intrusion detection
- fault tolerant
- distributed environment
- network anomaly detection
- anomalous behavior
- network traffic
- detecting anomalies
- message passing
- network intrusion detection
- data assimilation
- fault tolerance
- distributed database systems
- machine learning
- intrusion detection system
- geographically distributed
- one class support vector machines
- open source
- artificial intelligence
- unsupervised anomaly detection
- behavior analysis
- data replication
- negative selection algorithm
- network intrusion
- cumulative sum
- network security
- mobile agents
- detecting anomalous
- normal behavior
- unsupervised learning