{"id":{"repo_id":"houston","oai_identifier":"oai:uh-ir.tdl.org:10657/17786"},"canonical_url":"https://search.dev.ndltd.org/etd/houston/oai:uh-ir.tdl.org:10657/17786","repository":{"repo_id":"houston","name":"University of Houston","base_url":"https://uh-ir.tdl.org/server/oai/request"},"display":{"title":"Intrusion Detection and Anomaly Identification in Internet of Things Networks","abstract":"In an ever-changing world, technology has developed rapidly in the form of innovation and integration. The Internet of Things (IoT) is one of the most significant technological developments in recent years, enabling thousands of new devices to connect to and utilize the Internet. As IoT has been rapidly accelerated and intertwined into societal functions, the security of these devices was placed on the back burner of developer’s minds. The differences between IoT network infrastructure and traditional IT network infrastructure cause modern security methods to be ineffective in IoT networks. Methods including anomaly detection, Digital Forensics/Incident Response, and intrusion detection, must adapt to the complexity of IoT before they can be utilized effectively. As IoT continues to grow, security measures will be updated and specialized to thrive in IoT networks.","abstract_html":"In an ever-changing world, technology has developed rapidly in the form of innovation and integration. The Internet of Things (IoT) is one of the most significant technological developments in recent years, enabling thousands of new devices to connect to and utilize the Internet. As IoT has been rapidly accelerated and intertwined into societal functions, the security of these devices was placed on the back burner of developer’s minds. The differences between IoT network infrastructure and traditional IT network infrastructure cause modern security methods to be ineffective in IoT networks. Methods including anomaly detection, Digital Forensics/Incident Response, and intrusion detection, must adapt to the complexity of IoT before they can be utilized effectively. As IoT continues to grow, security measures will be updated and specialized to thrive in IoT networks.","abstract_has_math":false,"creators":["Stockton, William M"],"institution":"University of Houston","degree_name":"Master of Science","degree_level":"Masters","degree_discipline":"Information Systems Security","degree_department":null,"school":null,"contributors":[],"advisors":["Zhang, Yunpeng"],"committee_chairs":[],"committee_members":["Lent, Ricardo","Lee, Kyu In"],"year":2024,"date_issued":"2024-05-09","date_published":"2024-05-09","updated_at":"2026-07-24T02:32:27Z","subjects":["IoT","anomaly"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10657/17786","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Zhang, Yunpeng"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Lent, Ricardo","Lee, Kyu In"]},{"key":"dc:creator","label":"Author","values":["Stockton, William M"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2024-07-27T21:25:05Z"]},{"key":"dc:date.issued","label":"Date","values":["2024-05-09"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Information Systems Security"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Houston"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["IoT","anomaly"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10657/17786"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["In an ever-changing world, technology has developed rapidly in the form of innovation and integration. The Internet of Things (IoT) is one of the most significant technological developments in recent years, enabling thousands of new devices to connect to and utilize the Internet. As IoT has been rapidly accelerated and intertwined into societal functions, the security of these devices was placed on the back burner of developer’s minds. The differences between IoT network infrastructure and traditional IT network infrastructure cause modern security methods to be ineffective in IoT networks. Methods including anomaly detection, Digital Forensics/Incident Response, and intrusion detection, must adapt to the complexity of IoT before they can be utilized effectively. As IoT continues to grow, security measures will be updated and specialized to thrive in IoT networks."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Intrusion Detection and Anomaly Identification in Internet of Things Networks"]}]}],"canonical_facts":{"dc:contributor.advisor":["Zhang, Yunpeng"],"dc:contributor.committeemember":["Lent, Ricardo","Lee, Kyu In"],"dc:creator":["Stockton, William M"],"dc:date.accessioned":["2024-07-27T21:25:05Z"],"dc:date.issued":["2024-05-09"],"dc:description.abstract":["In an ever-changing world, technology has developed rapidly in the form of innovation and integration. The Internet of Things (IoT) is one of the most significant technological developments in recent years, enabling thousands of new devices to connect to and utilize the Internet. As IoT has been rapidly accelerated and intertwined into societal functions, the security of these devices was placed on the back burner of developer’s minds. The differences between IoT network infrastructure and traditional IT network infrastructure cause modern security methods to be ineffective in IoT networks. Methods including anomaly detection, Digital Forensics/Incident Response, and intrusion detection, must adapt to the complexity of IoT before they can be utilized effectively. As IoT continues to grow, security measures will be updated and specialized to thrive in IoT networks."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/10657/17786"],"dc:language.iso":["en"],"dc:subject":["IoT","anomaly"],"dc:title":["Intrusion Detection and Anomaly Identification in Internet of Things Networks"],"dc:type":["Thesis"],"thesis:degree_discipline":["Information Systems Security"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["University of Houston"]},"updated_at":"2026-07-24T02:32:27Z"}