Online privacy: attacks and defenses

Link:
Autor/in:
Erscheinungsjahr:
2015
Medientyp:
Text
Schlagworte:
  • Domain Name System
  • Linkability
  • Machine learning
  • Online tracking
  • Privacy enhancing technologies
  • Website fingerprinting
Beschreibung:
  • I approach privacy issues on the Internet from two ends. On the one hand, I design and evaluate defensive measures, so-called privacy enhancing technologies (PETs), which can be used by individuals to protect themselves against surveillance on the Internet. On the other hand, I study the efficacy of offensive techniques. I am especially interested in passive surveillance techniques that cannot be detected. For instance, I have shown how machine learning techniques can be used to infer the contents of encrypted traffic and how to track users solely based on characteristic behavioral patterns.
Lizenz:
  • info:eu-repo/semantics/closedAccess
Quellsystem:
Forschungsinformationssystem der UHH

Interne Metadaten
Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/17ced437-c6f9-44a6-8a3f-f4d2a7a213ec