{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1776"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1776","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"The development of a biometric keystroke authentication framework to enhance system security","abstract":"Computer systems have proven to be essential to achieving our daily tasks such as managing our banking accounts, managing our health information and managing critical information systems such as drinking water systems or nuclear power plant systems. Such distributed systems are networked and must be protected against cyber threats. This research presents the design and implementation of a stand alone web based biometric keystroke authentication framework that creates a user's keystroke typing profile and use it as a second form of authentication. Several biometric models were then bench marked for their accuracy by computing their EER. By using keystroke biometrics as a second form of authentication the overall system's security is enhanced without the need of extra peripheral devices and without interrupting a user's work-flow.","abstract_html":"Computer systems have proven to be essential to achieving our daily tasks such as managing our banking accounts, managing our health information and managing critical information systems such as drinking water systems or nuclear power plant systems. Such distributed systems are networked and must be protected against cyber threats. This research presents the design and implementation of a stand alone web based biometric keystroke authentication framework that creates a user's keystroke typing profile and use it as a second form of authentication. Several biometric models were then bench marked for their accuracy by computing their EER. By using keystroke biometrics as a second form of authentication the overall system's security is enhanced without the need of extra peripheral devices and without interrupting a user's work-flow.","abstract_has_math":false,"creators":["Suarez, Hector"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Yang, Li","Wu, Dalei; Ward, Michael","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:59Z","subjects":["Biometric identification","Computer security"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/618","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Yang, Li","Wu, Dalei; Ward, Michael","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Suarez, Hector"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Biometric identification","Computer security"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/618"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Computer Science and Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["Computer systems have proven to be essential to achieving our daily tasks such as managing our banking accounts, managing our health information and managing critical information systems such as drinking water systems or nuclear power plant systems. Such distributed systems are networked and must be protected against cyber threats. This research presents the design and implementation of a stand alone web based biometric keystroke authentication framework that creates a user's keystroke typing profile and use it as a second form of authentication. Several biometric models were then bench marked for their accuracy by computing their EER. By using keystroke biometrics as a second form of authentication the overall system's security is enhanced without the need of extra peripheral devices and without interrupting a user's work-flow."]},{"key":"dc:title","label":"Title","values":["The development of a biometric keystroke authentication framework to enhance system security"]}]}],"canonical_facts":{"dc:contributor":["Yang, Li","Wu, Dalei; Ward, Michael","College of Engineering and Computer Science"],"dc:creator":["Suarez, Hector"],"dc:date":["2019-08-01T07:00:00Z"],"dc:description":["Dept. of Computer Science and Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["Computer systems have proven to be essential to achieving our daily tasks such as managing our banking accounts, managing our health information and managing critical information systems such as drinking water systems or nuclear power plant systems. Such distributed systems are networked and must be protected against cyber threats. This research presents the design and implementation of a stand alone web based biometric keystroke authentication framework that creates a user's keystroke typing profile and use it as a second form of authentication. Several biometric models were then bench marked for their accuracy by computing their EER. By using keystroke biometrics as a second form of authentication the overall system's security is enhanced without the need of extra peripheral devices and without interrupting a user's work-flow."],"dc:identifier":["https://scholar.utc.edu/theses/618"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Biometric identification","Computer security"],"dc:title":["The development of a biometric keystroke authentication framework to enhance system security"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:59Z"}