On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection.
Idio GuarinoGiampaolo BovenziDavide Di MondaGiuseppe AcetoDomenico CiuonzoAntonio PescapèPublished in: M&N (2022)
Keyphrases
- machine learning approaches
- network intrusion detection
- machine learning methods
- machine learning algorithms
- machine learning
- machine learning models
- anomaly detection
- intrusion detection
- fraud detection
- network intrusion
- classification accuracy
- artificial immune
- image classification
- pattern recognition
- text classification
- cost sensitive
- data structure
- network anomaly detection
- maximum likelihood
- data mining techniques
- learning process
- feature selection