A Comparison of Static to Biologically Modeled Intrusion Detection Systems
Electronic Theses and Dissertations
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Item Details
- title
- A Comparison of Static to Biologically Modeled Intrusion Detection Systems
- author
- Williams, Brian
- 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
- 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)
- type
- Thesis