Analyzing and contrasting machine learning algorithms for Intrusion Detection System.
Shrouq Al-DajaAla' AlyabrodiMohammad Rasmi Al-MousaAbdullah Al-QammazKholod Naser OlimatHamza M. OlematMohammad Sharif DaoudPublished in: ACIT (2023)
Keyphrases
- machine learning algorithms
- intrusion detection system
- intrusion detection
- network security
- benchmark data sets
- learning algorithm
- machine learning
- computer networks
- network traffic
- anomaly detection
- decision trees
- distributed intrusion detection
- machine learning methods
- predictive accuracy
- network intrusion detection
- learning problems
- learning tasks
- machine learning approaches
- computer systems
- random forests
- information systems
- learning models
- attack detection
- network intrusion detection systems
- network attacks
- alert correlation
- machine learning models
- data mining techniques
- statistical machine learning
- normal behavior
- machine learning systems
- information retrieval
- unauthorized access
- bayesian networks
- data analysis
- knn
- data sets