Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines.
Kukjin ChoiJihun YiChanghwa ParkSungroh YoonPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- deep learning
- intrusion detection
- unsupervised learning
- cumulative sum
- intrusion detection system
- network traffic
- detecting anomalies
- anomalous behavior
- data sets
- network intrusion detection
- data analysis
- machine learning
- hidden markov models
- network anomaly detection
- negative selection algorithm