{"id":{"repo_id":"wfu","oai_identifier":"oai:wakespace.lib.wfu.edu:10339/14740"},"canonical_url":"https://search.dev.ndltd.org/etd/wfu/oai:wakespace.lib.wfu.edu:10339/14740","repository":{"repo_id":"wfu","name":"Wake Forest University","base_url":"https://wakespace.lib.wfu.edu/oai/request"},"display":{"title":"A Comparison of Static to Biologically Modeled Intrusion Detection Systems","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Williams, Brian"],"institution":"Wake Forest University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-05-07T18:59:25Z","date_published":"2010-05-07T18:59:25Z","updated_at":"2026-07-27T22:00:55Z","subjects":["security"],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10339/14740","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Williams, Brian"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2010-05-07T18:59:25Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2010-05-07T18:59:25Z"]},{"key":"dc:date.issued","label":"Date","values":["2010-05-07T18:59:25Z"]},{"key":"dc:publisher","label":"Institution","values":["Wake Forest University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["security"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10339/14740"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["A Comparison of Static to Biologically Modeled Intrusion Detection Systems"]}]}],"canonical_facts":{"dc:creator":["Williams, Brian"],"dc:date.accessioned":["2010-05-07T18:59:25Z"],"dc:date.available":["2010-05-07T18:59:25Z"],"dc:date.issued":["2010-05-07T18:59:25Z"],"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."],"dc:identifier.uri":["http://hdl.handle.net/10339/14740"],"dc:language.iso":["en_US"],"dc:publisher":["Wake Forest University"],"dc:subject":["security"],"dc:title":["A Comparison of Static to Biologically Modeled Intrusion Detection Systems"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T22:00:55Z"}