A model-based approach to anomaly detection in software architectures.
Hemank LambaThomas J. GlazierBradley R. SchmerlJavier CámaraDavid GarlanJürgen PfefferPublished in: HotSoS (2016)
Keyphrases
- anomaly detection
- software architecture
- intrusion detection
- detecting anomalies
- software systems
- software engineering
- anomalous behavior
- network intrusion detection
- unsupervised anomaly detection
- network traffic
- distributed systems
- software development
- one class support vector machines
- network security
- computer security
- intrusion detection system
- behavior analysis
- malware detection
- detecting anomalous
- network anomaly detection
- unsupervised learning
- detect anomalies
- reinforcement learning
- network intrusion
- learning algorithm
- cumulative sum
- connectionist systems
- misuse detection
- negative selection algorithm
- computer vision
- high dimensional
- product line
- active learning
- databases
- autonomous agents