Improved Long Short-Term Memory based anomaly detection with concept drift adaptive method for supporting IoT services.
Rongbin XuYongliang ChengZhiqiang LiuYing XieYun YangPublished in: Future Gener. Comput. Syst. (2020)
Keyphrases
- anomaly detection
- short term
- long term
- network anomaly detection
- one class support vector machines
- support vector machine
- novelty detection
- pairwise
- concept drift
- intrusion detection
- network traffic
- intrusion detection system
- classification algorithm
- non stationary
- data sets
- unsupervised learning
- input data
- object recognition
- similarity measure
- neural network