Masters Theses

Title

A clustering approach to intrusion detection

Abstract

"In this research, a clustering-based approach is investigated for anomaly detection. The data for the research comes from a distributed system called the Boots system."--Introduction, page 2.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

University of Missouri--Rolla

Publication Date

Spring 2004

Pagination

viii, 63 leaves

Note about bibliography

Includes bibliographical references (leaves 91-93).

Rights

© 2004 Nageswaran Jayaraman, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Computer networks -- Security measures
Computer security
Neural networks (Computer science)

Thesis Number

T 8432

Print OCLC #

55224909

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b5088814~S5

This document is currently not available here.

Share My Thesis If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.

Share

 
COinS