WIAS Preprint No. 1502, (2010)

ASAP: Automatic semantics-aware analysis of network payloads



Authors

  • Krueger, Tammo
  • Krämer, Nicole
  • Rieck, Konrad

2010 Mathematics Subject Classification

  • 62H25 68M12

Keywords

  • dimensionality reduction, computer security, intrusion detection

Abstract

Automatic inspection of network payloads is a prerequisite for effective analysis of network communication. Security research has largely focused on network analysis using protocol specifications, for example for intrusion detection, fuzz testing and forensic analysis. The specification of a protocol alone, however, is often not sufficient for accurate analysis of communication, as it fails to reflect individual semantics of network applications. We propose a framework for semantics-aware analysis of network payloads which automaticylly extracts semantic components from recorded network traffic. Our method proceeds by mapping network payloads to a vector space and identifying semantic templates corresponding to base directions in the vector space. We demonstrate the efficacy of semantics-aware analysis in different security applications: automatic discovery of patterns in honeypot data, analysis of malware communication and network intrusion detection.

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