An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems.
Roy AssafIoana GiurgiuJonas PfefferleSerge MonneyHaris PozidisAnika SchumannPublished in: IJCAI (2020)
Keyphrases
- anomaly detection
- storage systems
- data sets
- intrusion detection
- knowledge discovery
- computer systems
- database
- data structure
- data processing
- data mining applications
- network intrusion detection
- storage devices
- data sources
- supervised learning
- unsupervised learning
- training data
- data mining
- data mining algorithms
- intrusion detection system
- databases
- anomalous behavior