Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning.
Dapeng LiuYoujian ZhaoHaowen XuYongqian SunDan PeiJiao LuoXiaowei JingMei FengPublished in: Internet Measurement Conference (2015)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- network intrusion detection
- anomalous behavior
- detecting anomalies
- unsupervised anomaly detection
- network traffic
- unsupervised learning
- detecting anomalous
- computer security
- negative selection algorithm
- network security
- information extraction
- one class support vector machines
- intrusion detection system
- detect anomalies
- computer vision
- knowledge discovery
- pattern recognition
- natural language processing
- data sets
- connectionist systems
- malware detection
- learning problems
- text mining
- behavior analysis
- bayesian networks
- learning algorithm
- data points
- real world
- model selection
- computer systems
- semi supervised