Anomaly Detection on DNS Traffic using Big Data and Machine Learning.
Boon Kai Kelvin SohEugene ChongVivek BalachandranPublished in: BDCSIntell (2019)
Keyphrases
- anomaly detection
- big data
- network traffic
- machine learning
- data science
- data analysis
- detect anomalies
- network anomaly detection
- intrusion detection
- knowledge discovery
- cloud computing
- detecting anomalies
- network intrusion detection
- data management
- data processing
- unsupervised learning
- anomalous behavior
- intrusion detection system
- social media
- network security
- business intelligence
- big data analytics
- normal traffic
- data mining
- negative selection algorithm
- data warehousing
- massive datasets
- computer networks
- decision trees
- text classification
- supervised learning
- data warehouse
- learning algorithm
- text mining
- model selection
- natural language processing
- information extraction
- database management systems
- pattern recognition
- case study
- one class support vector machines
- computer vision