Machine learning based intrusion detection as a service: task assignment and capacity allocation in a multi-tier architecture.
Yuan-Cheng LaiDidik SudyanaYing-Dar LinMiel VerkerkenLaurens D'hoogeTim WautersBruno VolckaertFilip De TurckPublished in: UCC Companion (2021)
Keyphrases
- intrusion detection
- capacity allocation
- tier architecture
- machine learning
- intrusion detection system
- anomaly detection
- data mining
- square root
- network intrusion detection
- network security
- budget constraints
- network traffic
- detecting anomalous
- high detection rate
- information security
- supervised learning
- network intrusion
- learning algorithm
- text classification
- alert correlation
- knowledge discovery
- active learning
- feature selection
- steady state
- face detection
- computer vision