Balanced Iterative Reducing and Clustering Using Hierarchies with Principal Component Analysis (PBirch) for Intrusion Detection over Big Data in Mobile Cloud Environment.
Kai PengLixin ZhengXiaolong XuTao LinVictor C. M. LeungPublished in: SpaCCS (2018)
Keyphrases
- intrusion detection
- big data
- anomaly detection
- principal component analysis
- intrusion detection system
- network security
- data processing
- clustering algorithm
- cloud computing
- network traffic
- social media
- business intelligence
- data analysis
- big data analytics
- detecting anomalous
- network intrusion detection
- high detection rate
- mobile devices
- knowledge discovery
- information security
- k means
- data mining
- artificial immune
- data management
- cyber security
- data science
- network intrusion
- unsupervised learning
- data warehousing
- network intrusions
- outlier detection
- data mining techniques
- dimensionality reduction
- feature extraction
- face recognition
- database systems
- decision making
- data sets
- intrusion prevention
- outlier mining
- information processing
- feature space
- real world