Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning.
Abimbola SangodoyinMobayode O. AkinsoluPrashant PillaiVic GroutPublished in: IEEE Access (2021)
Keyphrases
- social networks
- detection method
- classification accuracy
- machine learning
- image classification
- denial of service attacks
- pattern recognition
- feature extraction
- feature space
- decision trees
- classification algorithm
- detection algorithm
- support vector machine svm
- attack detection
- false alarms
- neyman pearson
- text classification
- software development
- feature selection
- case study
- feature vectors
- support vector machine
- user interface
- classification method
- distributed denial of service attacks
- ddos attacks
- computer security
- countermeasures
- neural network
- false positives
- software systems
- wireless networks
- object detection
- supervised learning
- anomaly detection