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Theses/Dissertations
Author Bambroo, Monu, 1979-

Title Intrusion detection using fuzzy logic and evolutionary algorithm techniques / by Monu Bambroo.

Published ©2005.
LOCATION CALL # STATUS
 MST DEPOSITORY  THESIS T 8766/8793  MICROFILM    NOT CHECKED OUT
 MST Thesis  THESIS T 8785    NOT CHECKED OUT
Description x, 62 leaves : illustrations ; 28 cm.
Summary "An Intrusion Detection System should optimally be capable of detecting both known attacks (misuse detection) and unknown attacks (anomaly detection combined with non-self classification). This thesis research studies the problem of automating the generation of a high-fidelity 'detection model' that can recognize both known and variations on known attacks through the use of a Fuzzy Learning Classifier System"--Abstract, leaf iii.
Notes Vita.
Includes bibliographical references (leaves 60-61).
M.S. University of Missouri--Rolla 2005.
Subjects Fuzzy logic.
Computer security.
Genetic algorithms.
Other Titles MST thesis. Computer Science (M.S., 2005).
Additional Keywords Bucket brigade algorithm.
C4.5 rule.
OCLC/WorldCat Number 62775537
Author Bambroo, Monu, 1979-
Title Intrusion detection using fuzzy logic and evolutionary algorithm techniques / by Monu Bambroo.
Subjects Fuzzy logic.
Computer security.
Genetic algorithms.
Additional Keywords Bucket brigade algorithm.
C4.5 rule.
Other Titles MST thesis. Computer Science (M.S., 2005).
Permanent Link
http://merlin.lib.umsystem.edu:80/record=b5451585~S5