Masters Theses

Title

Next generation intrusion detection system

Author

Arvind Rapaka

Abstract

"An intrusion detection system is a critical component for secure information management. Unfortunately, present IDS's falls short of providing protection required for growing concern...This thesis describes an IDS model utilizing a Radial Basis Function neural network. It functions as a combined anomaly/misuse detector that helps to overcome most of the limitations in existing models."--Abstract, page iii.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2004

Pagination

viii, 80 leaves

Note about bibliography

Includes bibliographical references (leaves 113-116).

Rights

© 2004 Arvind Nath Rapaka, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Computer security
Computer networks -- Security measures
Detectors -- Data processing

Thesis Number

T 8525

Print OCLC #

56725913

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=b5135020~S5

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