Detecting Saturation Attacks in SDN via Machine Learning.
Samer KhamaisehEdoardo SerraZhiyuan LiDianxiang XuPublished in: ICCCS (2019)
Keyphrases
- machine learning
- pattern recognition
- network intrusion detection systems
- detecting malicious
- countermeasures
- machine learning methods
- information extraction
- machine learning algorithms
- computer science
- denial of service attacks
- learning tasks
- statistical methods
- support vector machine
- decision trees
- text classification
- learning systems
- attack detection
- inductive logic programming
- natural language processing
- machine learning approaches
- watermarking scheme
- data mining
- computer vision
- misuse detection
- malicious activities
- malicious users
- malicious attacks
- security mechanisms
- feature selection
- automatic detection
- data analysis
- active learning
- digital images
- model selection
- computational intelligence