Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications.
Laith AbualigahSayel AbualigahMothanna AlmahmoudAgostino ForestieroGagan SachdevaEssam Said HanandehPublished in: PerSOM (2022)
Keyphrases
- network traffic
- malware detection
- machine learning
- anomaly detection
- malicious code
- intrusion detection
- intrusion detection system
- network security
- network management
- traffic analysis
- network intrusion detection
- computer networks
- network monitoring
- decision trees
- detecting anomalous
- traffic volume
- data mining
- network traffic data
- internet traffic
- active learning
- traffic data
- detect anomalies
- text mining
- pattern recognition
- network bandwidth
- feature selection
- traffic patterns
- network resources
- static analysis
- information extraction
- malicious traffic
- model selection
- long range dependence
- reverse engineering
- unsupervised learning
- text classification
- reinforcement learning