Share Email Print
cover

Proceedings Paper

Data modeling of network dynamics
Author(s): Holger M. Jaenisch; James W. Handley; Jeffery P. Faucheux; Brad Harris
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper highlights Data Modeling theory and its use for text data mining as a graphical network search engine. Data Modeling is then used to create a real-time filter capable of monitoring network traffic down to the port level for unusual dynamics and changes in business as usual. This is accomplished in an unsupervised fashion without a priori knowledge of abnormal characteristics. Two novel methods for converting streaming binary data into a form amenable to graphics based search and change detection are introduced. These techniques are then successfully applied to 1999 KDD Cup network attack data log-on sessions to demonstrate that Data Modeling can detect attacks without prior training on any form of attack behavior. Finally, two new methods for data encryption using these ideas are proposed.

Paper Details

Date Published: 30 December 2003
PDF: 12 pages
Proc. SPIE 5200, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI, (30 December 2003); doi: 10.1117/12.502472
Show Author Affiliations
Holger M. Jaenisch, SPARTA, Inc. (United States)
James W. Handley, SPARTA, Inc. (United States)
Jeffery P. Faucheux, SPARTA, Inc. (United States)
Brad Harris, SPARTA, Inc. (United States)


Published in SPIE Proceedings Vol. 5200:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

© SPIE. Terms of Use
Back to Top