Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment.
Eleonora AchiluzziMenglu LiMd Fahd Al GeorgyRasha F. KashefPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- data driven approaches
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- one class support vector machines
- detecting anomalous
- network anomaly detection
- big data
- computer security
- ubiquitous computing
- behavior analysis
- unsupervised anomaly detection
- malware detection
- network security
- detect anomalies
- intrusion detection system
- unsupervised learning
- hidden markov models
- cumulative sum
- mobile devices