• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. Detection of size modulation covert channels using countermeasure variation
 
  • Details
  • Full
Options
2019
Journal Article
Title

Detection of size modulation covert channels using countermeasure variation

Abstract
Network covert channels enable stealthy communications for malware and data exfiltration. For this reason, developing effective countermeasures for these threats is important for the protection of individuals and organizations. However, due to the large number of available covert channel techniques, it is considered impractical to develop countermeasures for all existing covert channels. In recent years, researchers started to develop countermeasures that (instead of only countering one particular hiding technique) can be applied to a whole family of similar hiding techniques. These families are referred to as hiding patterns. Considering above, the main contribution of this paper is to introduce the concept of countermeasure variation. Countermeasure variation is a slight modification of a given countermeasure that was designed to detect covert channels of one specific hiding pattern so that the countermeasure can also detect covert channels that are representing other hiding patterns. We exemplify countermeasure variation using the compressibility score, the e-similarity and the regularity metric originally presented by Cabuk et al. All three methods are used to detect covert channels that utilize the Inter-packet Times pattern and we show that countermeasure variation allows the application of these countermeasures to detect covert channels of the Size Modulation pattern, too.
Author(s)
Wendzel, S.
Link, F.
Eller, D.
Mazurczyk, W.
Journal
Journal of universal computer science : JUCS  
DOI
10.3217/jucs-025-11-1396
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024