Performance Evaluation of Container-Level Anomaly-Based Intrusion Detection Systems for Multi-Tenant Applications Using Machine Learning Algorithms.
Marcos CavalcantiPedro R. M. InácioMário M. FreirePublished in: ARES (2021)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- machine learning
- machine learning methods
- decision trees
- statistical machine learning
- machine learning systems
- machine learning approaches
- learning problems
- data sets
- machine learning models
- cost effective
- power consumption
- computer systems
- distributed systems
- domain specific
- supervised learning
- data model
- database
- multi tenant