{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1916"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1916","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Preventing privacy attacks in IoT devices","abstract":"Today, people use many connected devices to make people’s lives easier in a connected environment. Devices like fitness trackers, smartwatches, smart home appliances, and other devices make people’s lives easier. People can use their smartphones to control the thermostat, television, vacuum cleaner, and other connected devices. While IoT devices make their lives easier, they also concern security threats like privacy. Organizations like the U.S. DoD forbid having fitness trackers on some of their buildings, while other organizations discourage patrons from using them in their spaces. The question of how to use IoT devices and simultaneously safeguard users' privacy is a big challenge. Let’s look at a couple of different ways to secure IoT devices' privacy. Since IoT devices are very vast and very different, no universal scheme exists to prevent privacy attacks; thus, a variety of techniques need to be used. Some blockchain applications and transformations will be used to protect privacy in IoT devices. These algorithms that transform data or use blockchain to manage the data or the flow can prevent privacy attacks. Using such algorithms protects the data of IoT/Smart devices and secures them so that people do not have to worry about not being safe while these devices are being used.","abstract_html":"Today, people use many connected devices to make people’s lives easier in a connected environment. Devices like fitness trackers, smartwatches, smart home appliances, and other devices make people’s lives easier. People can use their smartphones to control the thermostat, television, vacuum cleaner, and other connected devices. While IoT devices make their lives easier, they also concern security threats like privacy. Organizations like the U.S. DoD forbid having fitness trackers on some of their buildings, while other organizations discourage patrons from using them in their spaces. The question of how to use IoT devices and simultaneously safeguard users&#x27; privacy is a big challenge. Let’s look at a couple of different ways to secure IoT devices&#x27; privacy. Since IoT devices are very vast and very different, no universal scheme exists to prevent privacy attacks; thus, a variety of techniques need to be used. Some blockchain applications and transformations will be used to protect privacy in IoT devices. These algorithms that transform data or use blockchain to manage the data or the flow can prevent privacy attacks. Using such algorithms protects the data of IoT/Smart devices and secures them so that people do not have to worry about not being safe while these devices are being used.","abstract_has_math":false,"creators":["Joshuva, Justin K"],"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; Gao, Lani; Hong, Qin","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:47:06Z","subjects":["Computer security","Internet of things"],"languages":["English","eng"],"rights":[],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/764","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; Gao, Lani; Hong, Qin","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Joshuva, Justin K"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05-01T07:00:00Z"]},{"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":["Doctoral dissertations","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computer security","Internet of things"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/764"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Computational Science","Ph. D.; A dissertation submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Doctor of Philosophy."]},{"key":"dc:description.abstract","label":"Abstract","values":["Today, people use many connected devices to make people’s lives easier in a connected environment. Devices like fitness trackers, smartwatches, smart home appliances, and other devices make people’s lives easier. People can use their smartphones to control the thermostat, television, vacuum cleaner, and other connected devices. While IoT devices make their lives easier, they also concern security threats like privacy. Organizations like the U.S. DoD forbid having fitness trackers on some of their buildings, while other organizations discourage patrons from using them in their spaces. The question of how to use IoT devices and simultaneously safeguard users' privacy is a big challenge. Let’s look at a couple of different ways to secure IoT devices' privacy. Since IoT devices are very vast and very different, no universal scheme exists to prevent privacy attacks; thus, a variety of techniques need to be used. Some blockchain applications and transformations will be used to protect privacy in IoT devices. These algorithms that transform data or use blockchain to manage the data or the flow can prevent privacy attacks. Using such algorithms protects the data of IoT/Smart devices and secures them so that people do not have to worry about not being safe while these devices are being used."]},{"key":"dc:title","label":"Title","values":["Preventing privacy attacks in IoT devices"]}]}],"canonical_facts":{"dc:contributor":["Yang, Li","Wu, Dalei; Gao, Lani; Hong, Qin","College of Engineering and Computer Science"],"dc:creator":["Joshuva, Justin K"],"dc:date":["2022-05-01T07:00:00Z"],"dc:description":["Dept. of Computational Science","Ph. D.; A dissertation submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Doctor of Philosophy."],"dc:description.abstract":["Today, people use many connected devices to make people’s lives easier in a connected environment. Devices like fitness trackers, smartwatches, smart home appliances, and other devices make people’s lives easier. People can use their smartphones to control the thermostat, television, vacuum cleaner, and other connected devices. While IoT devices make their lives easier, they also concern security threats like privacy. Organizations like the U.S. DoD forbid having fitness trackers on some of their buildings, while other organizations discourage patrons from using them in their spaces. The question of how to use IoT devices and simultaneously safeguard users' privacy is a big challenge. Let’s look at a couple of different ways to secure IoT devices' privacy. Since IoT devices are very vast and very different, no universal scheme exists to prevent privacy attacks; thus, a variety of techniques need to be used. Some blockchain applications and transformations will be used to protect privacy in IoT devices. These algorithms that transform data or use blockchain to manage the data or the flow can prevent privacy attacks. Using such algorithms protects the data of IoT/Smart devices and secures them so that people do not have to worry about not being safe while these devices are being used."],"dc:identifier":["https://scholar.utc.edu/theses/764"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Computer security","Internet of things"],"dc:title":["Preventing privacy attacks in IoT devices"],"dc:type":["Doctoral dissertations","Text"]},"updated_at":"2026-07-24T05:47:06Z"}