Accession Number:

ADA528299

Title:

Entropy-Based Heavy Tailed Distribution Transformation for Network Traffic Analysis

Descriptive Note:

Conference paper Feb 2008-Aug 2010

Corporate Author:

AIR FORCE RESEARCH LAB ROME NY INFORMATION DIRECTORATE

Personal Author(s):

Report Date:

2010-08-01

Pagination or Media Count:

7.0

Abstract:

In general, network traffic data has a heavy-tailed probability distribution. The Entropy-Based Heavy Tailed Distribution Transformation EHTDT has been developed to convert the heavy tailed network traffic data distribution into a transformed probability distribution. In practice, the entropy distribution of the transformed probability distribution exhibits a type of linearity that gives rise to an eigenstructure that allows the characterization of network traffic data to effectively lossily compress network traffic data via the Rate Controlled Eigen-Based Coding. The aforementioned eigenstructure is motivated by singular value decomposition theory. A very high compression ratio can be achieved by the proposed method. Results of applying the methods to real network traffic data network traffic data are presented.

Subject Categories:

  • Computer Systems Management and Standards
  • Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE