Latest News

About CAMQ

Information for Authors

Editorial Board

Browse CAMQ Online

Subscription and Pricing

CAMQ Contacts

CAMQ Home

 

Volume 12,     Number 4,     Winter 2004

 

ANALYZING NETWORK TRAFFIC FOR
MALICIOUS ACTIVITY
SURREY KIM, SONG LI, HONGWEI LONG
AND RANDALL PYKE

Based on work carried out at the Eighth Annual Industrial Problem Solving Workshop, sponsored by the Pacific Institute for the Mathematical Sciences, May 17-21, 2004. Original problem submitted by Random Knowledge.

Abstract. We analyze samples of internet traffic and model them by piecewise homogeneous Poisson processes. This is a first step in characterizing legitimate internet traffic, which will be used to identify malicious (hacker) activity.

 

Download PDF Files
 
(Subscribers Only)

© 2005, Canadian Applied Mathematics Quarterly (CAMQ)