Doctoral Dissertations

Title

Immunology based methodology for detecting and searching anomalies

Keywords and Phrases

Mackey Glass Time Series

Abstract

"Anomaly detection can be defined as the identification of any abnormalities occurring in the normal functioning of a system. A related problem is search for the occurrence of a specific event from a set of large type of possible events. A brute force search or detection of anomalies is computationally expensive. The current research aims at developing a computationally efficient anomaly detection and search methodology. The proposed methodology is motivated by an efficient but complex cooperative effort of the innate and adaptive immune response of the human immune system"--Abstract, leaf iii.

Advisor(s)

Agarwal, Sanjeev, 1971-
Krishnamurthy, K.

Committee Member(s)

Landers, Robert G.
Midha, A. (Ashok)
Allada, Venkat

Department(s)

Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Mechanical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2008

Pagination

xii, 102 leaves

Note about bibliography

Includes bibliographical references (leaves 93-101).

Rights

© 2008 Adarsh Gopinathan Nair, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Anomaly detection (Computer security)
Immunoinformatics

Thesis Number

T 9393

Print OCLC #

298550807

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=b6622651~S5

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