Assessing Unsupervised Machine Learning solutions for Anomaly Detection in Cloud Gaming Sessions.
Joël Roman KyBertrand MathieuAbdelkader LahmadiRaouf BoutabaPublished in: CNSM (2022)
Keyphrases
- anomaly detection
- machine learning
- unsupervised learning
- unsupervised anomaly detection
- network anomaly detection
- intrusion detection
- novelty detection
- anomalous behavior
- detecting anomalies
- supervised learning
- computer security
- network intrusion detection
- intrusion detection system
- detect anomalies
- learning algorithm
- cloud computing
- one class support vector machines
- network intrusion
- pattern recognition
- network traffic
- network security
- behavior analysis
- semi supervised
- natural language processing
- cumulative sum
- detecting anomalous
- malware detection
- support vector machine
- negative selection algorithm
- feature selection
- pairwise
- training data
- text classification
- active learning
- probabilistic model
- artificial immune system
- computational intelligence