A machine learning-based memory forensics methodology for TOR browser artifacts.
Raffaele PizzolanteArcangelo CastiglioneBruno CarpentieriRoberto ContaldoGianni D'AngeloFrancesco PalmieriPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- machine learning
- data mining
- statistical machine learning
- machine learning algorithms
- text classification
- design methodology
- high quality
- statistical methods
- computer science
- user interface
- explanation based learning
- learning tasks
- memory requirements
- semi supervised learning
- web applications
- past experience
- supervised machine learning
- multi agent
- database
- memory space
- web browser
- memory size
- web pages
- kernel methods
- learning systems
- knowledge acquisition
- computational intelligence
- text mining
- information extraction
- support vector machine
- knowledge representation
- pattern recognition
- decision trees