Machine learning-based anomaly detection for post-silicon bug diagnosis.
Andrew DeOrioQingkun LiMatthew BurgessValeria BertaccoPublished in: DATE (2013)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- network intrusion detection
- unsupervised anomaly detection
- unsupervised learning
- behavior analysis
- one class support vector machines
- intrusion detection system
- computer security
- detecting anomalous
- detect anomalies
- network security
- data mining
- supervised learning
- text classification
- cumulative sum
- pattern recognition
- learning algorithm
- network intrusion
- computer vision
- malware detection
- active learning
- feature selection
- decision trees
- data analysis
- model selection
- text mining
- natural language processing
- learning problems
- information extraction
- support vector machine
- data assimilation
- connectionist systems
- pairwise
- data sets