Toward Bulk Synchronous Parallel-Based Machine Learning Techniques for Anomaly Detection in High-Speed Big Data Networks.
Kamran SiddiqueZahid AkhtarHaeng-gon LeeWoongsup KimYangwoo KimPublished in: Symmetry (2017)
Keyphrases
- anomaly detection
- big data
- high speed
- intrusion detection
- anomalous behavior
- detecting anomalies
- data processing
- cloud computing
- data analysis
- big data analytics
- network traffic
- intrusion detection system
- data management
- network intrusion detection
- detect anomalies
- social media
- network anomaly detection
- social networks
- data science
- computer networks
- machine learning
- unsupervised learning
- knowledge discovery
- business intelligence
- one class support vector machines
- data warehousing
- parallel processing
- shared memory
- information systems
- decision making
- association rules
- probabilistic model
- data sets