Network Intrusion Detection: Automated and Manual Methods Prone to Attack and Evasion

  • Authors:
  • David J. Chaboya;Richard A. Raines;Rusty O. Baldwin;Barry E. Mullins

  • Affiliations:
  • US Air Force Institute of Technology;US Air Force Institute of Technology;US Air Force Institute of Technology;US Air Force Institute of Technology

  • Venue:
  • IEEE Security and Privacy
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this article, the authors describe common intrusion detection techniques, NIDS evasion methods, and how NIDSs detect intrusions. Additionally, we introduce new evasion methods, present test results for confirming attack outcomes based on server responses, and propose a methodology for confirming response validity.