Impact of Training Set Size on Resource Usage of Machine Learning Models for IoT Network Intrusion Detection.
Barikisu A. AsulbaNuno SchumacherPedro F. SoutoLuís AlmeidaPedro M. SantosNuno MartinsJoana SousaPublished in: DCOSS-IoT (2023)
Keyphrases
- network intrusion detection
- machine learning models
- resource usage
- training set size
- anomaly detection
- intrusion detection
- spam filtering
- machine learning algorithms
- resource management
- training set
- intrusion detection system
- machine learning approaches
- management system
- fraud detection
- resource allocation
- resource consumption
- training data
- network traffic
- machine learning
- class distribution
- cloud computing
- data sets
- machine learning methods
- social network analysis
- predictive model
- lower bound
- learning algorithm