Anomaly Detection based on Compressed Data: an Information Theoretic Characterization.
Alex MarchioniAndriy EnttselMauro MangiaRiccardo RovattiGianluca SettiPublished in: CoRR (2021)
Keyphrases
- information theoretic
- anomaly detection
- compressed data
- data compression
- mutual information
- raw data
- intrusion detection
- detecting anomalies
- anomalous behavior
- compression ratio
- data cube
- original data
- compressed images
- main memory
- data structure
- lossless compression
- detect anomalies
- bitstream
- reconstructed image
- compression algorithm
- one class support vector machines
- intrusion detection system
- pattern recognition
- image compression
- multi dimensional
- semi supervised
- support vector machine
- image data
- pairwise
- decision trees
- learning algorithm
- data sets