Data Drift in DL: Lessons Learned from Encrypted Traffic Classification.
Navid MalekghainiElham AkbariMohammad A. SalahuddinNoura LimamRaouf BoutabaBertrand MathieuStephanie MoteauStéphane TuffinPublished in: IFIP Networking (2022)
Keyphrases
- lessons learned
- data sets
- data analysis
- decision trees
- case study
- data distribution
- training data
- pattern recognition
- image data
- database
- data collection
- data processing
- data mining techniques
- data structure
- active learning
- classification accuracy
- data streams
- support vector machine
- supervised learning
- support vector
- text classification
- cooperative
- training samples
- feature extraction
- machine learning