A User-friendly Approach to Write and Enforce Rules for Detecting Anomalous Network Traffic in IoT Environments.
Davino Mauro JuniorKiev GamaPublished in: ICSE (Workshops) (2020)
Keyphrases
- user friendly
- detecting anomalous
- network traffic
- intrusion detection
- anomaly detection
- graphical interface
- intrusion detection system
- network security
- user interface
- computer networks
- network management
- traffic data
- internet traffic
- network bandwidth
- traffic patterns
- network traffic data
- image segmentation
- user friendly interface
- active learning
- object recognition
- machine learning
- senior citizens
- location information
- cloud computing
- association rules
- artificial intelligence