DÏoT: A Federated Self-learning Anomaly Detection System for IoT.
Thien Duc NguyenSamuel MarchalMarkus MiettinenHossein FereidooniN. AsokanAhmad-Reza SadeghiPublished in: ICDCS (2019)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- intrusion detection system
- unsupervised anomaly detection
- detecting anomalous
- network traffic
- network security
- computer security
- unsupervised learning
- behavior analysis
- network anomaly detection
- data sources
- malware detection
- network intrusion
- data sets
- probabilistic model
- connectionist systems
- cumulative sum
- machine learning