A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming.
Mahsa RaeiszadehAhsan SaleemAmin EbrahimzadehRoch H. GlithoJohan EkerRaquel A. F. MiniPublished in: CCNC (2023)
Keyphrases
- anomaly detection
- deep learning
- application level
- data streaming
- unsupervised learning
- real time
- streaming data
- quality of service
- intrusion detection
- operating system
- network traffic
- network management
- machine learning
- intrusion detection system
- overlay network
- detect anomalies
- network security
- virtual machine
- data streams
- data analysis
- weakly supervised
- concept drift
- information systems
- bayesian networks
- mental models
- semi supervised
- high dimensional
- hidden markov models
- dimensionality reduction
- response time