A Machine Learning Based Approach for Detecting DRDoS Attacks and Its Performance Evaluation.
Yuxuan GaoYaokai FengJunpei KawamotoKouichi SakuraiPublished in: AsiaJCIS (2016)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- computer vision
- learning algorithm
- detecting malicious
- network intrusion detection systems
- computer science
- inductive learning
- knowledge acquisition
- supervised learning
- automatic detection
- machine learning approaches
- natural language processing
- information extraction
- pattern recognition
- traffic analysis
- computer security
- attack detection
- inductive logic programming
- feature selection
- learning problems
- computational intelligence
- text mining
- decision trees
- learning tasks
- data mining
- model selection
- watermarking scheme
- text classification
- countermeasures
- security threats
- support vector machine
- network anomaly detection
- active learning
- detect malicious