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Wake Forest University

A Comparison of Static to Biologically Modeled Intrusion Detection Systems

Abstract

dc:description.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.

Degree

thesis:*
Grantor dc:publisher
Wake Forest University
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Williams, Brian

Subjects

dc:subject × 1

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10339/14740
OAI identifier oai:identifier
oai:wakespace.lib.wfu.edu:10339/14740

Chain of custody

source
Harvested from
Wake Forest University
Base URL
wakespace.lib.wfu.edu/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Williams, Brian. A Comparison of Static to Biologically Modeled Intrusion Detection Systems. Wake Forest University, 2010. http://hdl.handle.net/10339/14740