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

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