Clustering Approach Based on Mini Batch Kmeans for Intrusion Detection System Over Big Data.
Kai PengVictor C. M. LeungQingjia HuangPublished in: IEEE Access (2018)
Keyphrases
- big data
- intrusion detection system
- k means
- intrusion detection
- anomaly detection
- clustering algorithm
- network security
- distributed intrusion detection
- computer networks
- big data analytics
- data management
- cloud computing
- data analysis
- network traffic
- unstructured data
- social media
- attack detection
- cluster centers
- vast amounts of data
- data processing
- business intelligence
- knowledge discovery
- clustering quality
- network intrusion detection
- alert correlation
- data warehousing
- self organizing maps
- machine learning
- computer systems
- data science
- data points
- data driven decision making
- misuse detection
- unsupervised learning
- data mining techniques
- data warehouse
- data integration
- business analytics
- normal behavior
- data sets
- knowledge management
- social networks
- databases