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A Comparison of Static to Biologically Modeled Intrusion Detection Systems

Electronic Theses and Dissertations

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abstract
Traditional computer security is provided through the implementation of many unique patterns, known as signatures, each used to identify a specific threat. In a world with constantly evolving threats combined with unique new attack vectors, maintaining signatures for every individual piece of malware becomes unwieldy. A biologically modeled intrusion detection system based on the behavior of a population of ants has many advantages over traditional security measures. Each ant in the virtual colony has the ability to detect one specific metric of the current state of a computer. In combination, the results of these simple tests can point to specific attacks, while the dynamic nature of the Cooperative Infrastructure Defense (CID) offers performance benefits over the traditional static setup.
subject
security
computer security
IDS
intrusion detection system
ACO
ants
contributor
Williams, Brian (author)
Fulp, Errin (committee chair)
Thomas, Stan (committee member)
Canas, Daniel (committee member)
date
2010-05-07T18:59:25Z (accessioned)
2010-06-18T18:58:12Z (accessioned)
2010-05-07T18:59:25Z (available)
2010-06-18T18:58:12Z (available)
2010-05-07T18:59:25Z (issued)
degree
Computer Science (discipline)
identifier
http://hdl.handle.net/10339/14740 (uri)
language
en_US (iso)
publisher
Wake Forest University
rights
Release the entire work immediately for access worldwide. (accessRights)
title
A Comparison of Static to Biologically Modeled Intrusion Detection Systems
type
Thesis

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