Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization.
Alex MarchioniAndriy EnttselMauro MangiaRiccardo RovattiGianluca SettiPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2024)
Keyphrases
- information theoretic
- anomaly detection
- compressed data
- data compression
- mutual information
- intrusion detection
- data structure
- raw data
- compression ratio
- detecting anomalies
- data cube
- lossless compression
- compressed images
- original data
- main memory
- anomalous behavior
- one class support vector machines
- intrusion detection system
- unsupervised learning
- image quality
- multi dimensional
- reconstructed image
- machine learning
- super resolution
- bitstream
- nearest neighbor
- active learning
- decision trees
- image processing
- data mining
- detect anomalies
- databases
- data sets