Accession Number:

ADA499600

Title:

Numerical Analysis for Relevant Features in Intrusion Detection (NARFid)

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT

Personal Author(s):

Report Date:

2009-03-01

Pagination or Media Count:

126.0

Abstract:

This thesis evaluates the usefulness of good feature subsets for the general classification task of identifying cyber attacks and network services. The generality of the selected features elucidates the relevance or irrelevance for the classification task of intrusion detection. Additionally, the work provides an extension to assessing features by inter-class separabilityBhattacharyya Coefficient for multiple class problems, which intends to select the best-performing features for all of the classes.

Subject Categories:

  • Computer Systems
  • Computer Systems Management and Standards

Distribution Statement:

APPROVED FOR PUBLIC RELEASE