{"id":{"repo_id":"brock","oai_identifier":"oai:brocku.scholaris.ca:10464/19711"},"canonical_url":"https://search.dev.ndltd.org/etd/brock/oai:brocku.scholaris.ca:10464/19711","repository":{"repo_id":"brock","name":"Brock University","base_url":"https://brocku.scholaris.ca/server/oai/request"},"display":{"title":"Reducing Latency and Increasing Resilience to Cyberattacks on Networks","abstract":"Due to the constant need for Internet access, the multitude of requests from various user devices for content from multiple sources causes routers to suffer high latency if data transmissions are mismanaged. Furthermore, if an attack, such as Denial of Service (DoS) or Distributed Denial of Service (DDoS), is launched on a network with mismanaged data transmissions, the result could be catastrophic, making proper transmission management paramount. Various techniques for managing these communications exist, but they are computationally costly and only account for select variables such as energy consumption or the amount of data transmitted. We use a genetic algorithm approach to generate network configurations with reduced latency based on multiple factors: transmission distance, data transmitted over a connection or to a node, and energy consumption, with the eventual goal of these networks having increased resilience to cyberattacks.","abstract_html":"Due to the constant need for Internet access, the multitude of requests from various user devices for content from multiple sources causes routers to suffer high latency if data transmissions are mismanaged. Furthermore, if an attack, such as Denial of Service (DoS) or Distributed Denial of Service (DDoS), is launched on a network with mismanaged data transmissions, the result could be catastrophic, making proper transmission management paramount. Various techniques for managing these communications exist, but they are computationally costly and only account for select variables such as energy consumption or the amount of data transmitted. We use a genetic algorithm approach to generate network configurations with reduced latency based on multiple factors: transmission distance, data transmitted over a connection or to a node, and energy consumption, with the eventual goal of these networks having increased resilience to cyberattacks.","abstract_has_math":false,"creators":["Olenic, Kevin"],"institution":"Brock University","degree_name":"M.Sc. Computer Science","degree_level":"Master","degree_discipline":"Faculty of Mathematics and Science","degree_department":"Department of Computer Science","school":null,"contributors":[],"advisors":["Houghten, Sheridan"],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-09-30","date_published":"2025-09-30","updated_at":"2026-07-24T01:23:16Z","subjects":["TECHNOLOGY::Information technology::Computer science::Computer science"],"languages":["eng"],"rights":["Attribution-NonCommercial 4.0 International"],"rights_urls":["http://creativecommons.org/licenses/by-nc/4.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10464/19711","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Houghten, Sheridan"]},{"key":"dc:contributor.department","label":"Department","values":["Department of Computer Science"]},{"key":"dc:creator","label":"Author","values":["Olenic, Kevin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-10-01T15:53:03Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-10-01T15:53:03Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-09-30"]},{"key":"dc:publisher","label":"Institution","values":["Brock University"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Faculty of Mathematics and Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.Sc. 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Furthermore, if an attack, such as Denial of Service (DoS) or Distributed Denial of Service (DDoS), is launched on a network with mismanaged data transmissions, the result could be catastrophic, making proper transmission management paramount. Various techniques for managing these communications exist, but they are computationally costly and only account for select variables such as energy consumption or the amount of data transmitted. We use a genetic algorithm approach to generate network configurations with reduced latency based on multiple factors: transmission distance, data transmitted over a connection or to a node, and energy consumption, with the eventual goal of these networks having increased resilience to cyberattacks."]},{"key":"dc:title","label":"Title","values":["Reducing Latency and Increasing Resilience to Cyberattacks on Networks"]}]}],"canonical_facts":{"dc:contributor.advisor":["Houghten, Sheridan"],"dc:contributor.department":["Department of Computer Science"],"dc:creator":["Olenic, Kevin"],"dc:date.accessioned":["2025-10-01T15:53:03Z"],"dc:date.available":["2025-10-01T15:53:03Z"],"dc:date.issued":["2025-09-30"],"dc:description.abstract":["Due to the constant need for Internet access, the multitude of requests from various user devices for content from multiple sources causes routers to suffer high latency if data transmissions are mismanaged. Furthermore, if an attack, such as Denial of Service (DoS) or Distributed Denial of Service (DDoS), is launched on a network with mismanaged data transmissions, the result could be catastrophic, making proper transmission management paramount. Various techniques for managing these communications exist, but they are computationally costly and only account for select variables such as energy consumption or the amount of data transmitted. We use a genetic algorithm approach to generate network configurations with reduced latency based on multiple factors: transmission distance, data transmitted over a connection or to a node, and energy consumption, with the eventual goal of these networks having increased resilience to cyberattacks."],"dc:identifier.uri":["https://hdl.handle.net/10464/19711"],"dc:language.iso":["eng"],"dc:publisher":["Brock University"],"dc:rights":["Attribution-NonCommercial 4.0 International"],"dc:rights.uri":["http://creativecommons.org/licenses/by-nc/4.0/"],"dc:subject":["TECHNOLOGY::Information technology::Computer science::Computer science"],"dc:title":["Reducing Latency and Increasing Resilience to Cyberattacks on Networks"],"dc:type":["Electronic Thesis or Dissertation"],"thesis:degree_discipline":["Faculty of Mathematics and Science"],"thesis:degree_level":["Master"],"thesis:degree_name":["M.Sc. Computer Science"]},"updated_at":"2026-07-24T01:23:16Z"}