{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/113059"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/113059","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Hardware-assisted privacy enforcement in commercial drone-as-a-service applications","abstract":"Unmanned Aerial Vehicles (UAVs), also known as drones, have become more popular in commercial activities than before. Many third-party drone service providers offer their drones and pilots to assist client businesses in a variety of missions. Such a business model is also known as Drone-as-a-Service (DaaS) model. However, the adoption of DaaS applications has been severely impeded due to the potential safety and privacy risks of drones. A malicious drone can fly over residential area and spy on citizens' information. When such drones are equipped with sensors, they can also eavesdrop or devastate private data that goes through wireless sensors. The public damage of the drones are enlarged in DaaS applications because the client often has very limited transparency on the hired drones. To tackle the above challenges, I present Hardware-Assisted Privacy Enforcement (HAPE) as a potential solution for the privacy issues in DaaS applications. The design of HAPE relies on the hardware-assisted security components, which are installed on the drones, to act as an external source of trust. Therefore, it can be used in various situations such as encrypting sensitive data, authorizing private access, and generating provenance. Based on HAPE, I design three systems to enhance the location privacy, the data privacy and the assignment and management of the DaaS applications. The experiments on these prototypes confirm that HAPE is a viable solution to mitigate the privacy threat of drones in DaaS applications.","abstract_html":"Unmanned Aerial Vehicles (UAVs), also known as drones, have become more popular in commercial activities than before. Many third-party drone service providers offer their drones and pilots to assist client businesses in a variety of missions. Such a business model is also known as Drone-as-a-Service (DaaS) model. However, the adoption of DaaS applications has been severely impeded due to the potential safety and privacy risks of drones. A malicious drone can fly over residential area and spy on citizens' information. When such drones are equipped with sensors, they can also eavesdrop or devastate private data that goes through wireless sensors. The public damage of the drones are enlarged in DaaS applications because the client often has very limited transparency on the hired drones. To tackle the above challenges, I present Hardware-Assisted Privacy Enforcement (HAPE) as a potential solution for the privacy issues in DaaS applications. The design of HAPE relies on the hardware-assisted security components, which are installed on the drones, to act as an external source of trust. Therefore, it can be used in various situations such as encrypting sensitive data, authorizing private access, and generating provenance. Based on HAPE, I design three systems to enhance the location privacy, the data privacy and the assignment and management of the DaaS applications. The experiments on these prototypes confirm that HAPE is a viable solution to mitigate the privacy threat of drones in DaaS applications.","abstract_has_math":false,"creators":["Liu, Tianyuan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Nahrstedt, Klara","Gunter, Carl A.","Bates, Adam","Danilov, Claudiu B."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-01-12T21:46:50Z","date_published":"2022-01-12T21:46:50Z","updated_at":"2026-07-22T22:24:53Z","subjects":["Drone","Privacy","Hardware Security"],"languages":["en"],"rights":["Copyright 2021 Tianyuan Liu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/113059","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Nahrstedt, Klara","Gunter, Carl A.","Bates, Adam","Danilov, Claudiu B."]},{"key":"dc:creator","label":"Author","values":["Liu, Tianyuan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-01-12T21:46:50Z","2021-07-16","2021-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Drone","Privacy","Hardware Security"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Tianyuan Liu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/113059"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Unmanned Aerial Vehicles (UAVs), also known as drones, have become more popular in commercial activities than before. Many third-party drone service providers offer their drones and pilots to assist client businesses in a variety of missions. Such a business model is also known as Drone-as-a-Service (DaaS) model. However, the adoption of DaaS applications has been severely impeded due to the potential safety and privacy risks of drones. A malicious drone can fly over residential area and spy on citizens' information. When such drones are equipped with sensors, they can also eavesdrop or devastate private data that goes through wireless sensors. The public damage of the drones are enlarged in DaaS applications because the client often has very limited transparency on the hired drones. To tackle the above challenges, I present Hardware-Assisted Privacy Enforcement (HAPE) as a potential solution for the privacy issues in DaaS applications. The design of HAPE relies on the hardware-assisted security components, which are installed on the drones, to act as an external source of trust. Therefore, it can be used in various situations such as encrypting sensitive data, authorizing private access, and generating provenance. Based on HAPE, I design three systems to enhance the location privacy, the data privacy and the assignment and management of the DaaS applications. The experiments on these prototypes confirm that HAPE is a viable solution to mitigate the privacy threat of drones in DaaS applications.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-01-12 without embargo terms","The student, Tianyuan Liu, accepted the attached license on 2021-07-15 at 20:57.","The student, Tianyuan Liu, submitted this Dissertation for approval on 2021-07-15 at 21:03.","This Dissertation was approved for publication on 2021-07-16 at 11:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16975 on 2022-01-12 at 12:45:58","Made available in DSpace on 2022-01-12T21:46:50Z (GMT). No. of bitstreams: 3 LIU-DISSERTATION-2021.pdf: 1771113 bytes, checksum: b469b4762c5be0529c5ad20e511f16da (MD5) LICENSE.txt: 4209 bytes, checksum: d2ebda2d0ecda02d27d0c0fb77624e52 (MD5) PROQUEST_LICENSE.txt: 4555 bytes, checksum: df3af998c518beaa9ba8378c13f5680a (MD5) Previous issue date: 2021-07-16"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Hardware-assisted privacy enforcement in commercial drone-as-a-service applications"]}]}],"canonical_facts":{"dc:contributor":["Nahrstedt, Klara","Gunter, Carl A.","Bates, Adam","Danilov, Claudiu B."],"dc:creator":["Liu, Tianyuan"],"dc:date":["2022-01-12T21:46:50Z","2021-07-16","2021-08"],"dc:description":["Unmanned Aerial Vehicles (UAVs), also known as drones, have become more popular in commercial activities than before. Many third-party drone service providers offer their drones and pilots to assist client businesses in a variety of missions. Such a business model is also known as Drone-as-a-Service (DaaS) model. However, the adoption of DaaS applications has been severely impeded due to the potential safety and privacy risks of drones. A malicious drone can fly over residential area and spy on citizens' information. When such drones are equipped with sensors, they can also eavesdrop or devastate private data that goes through wireless sensors. The public damage of the drones are enlarged in DaaS applications because the client often has very limited transparency on the hired drones. To tackle the above challenges, I present Hardware-Assisted Privacy Enforcement (HAPE) as a potential solution for the privacy issues in DaaS applications. The design of HAPE relies on the hardware-assisted security components, which are installed on the drones, to act as an external source of trust. Therefore, it can be used in various situations such as encrypting sensitive data, authorizing private access, and generating provenance. Based on HAPE, I design three systems to enhance the location privacy, the data privacy and the assignment and management of the DaaS applications. The experiments on these prototypes confirm that HAPE is a viable solution to mitigate the privacy threat of drones in DaaS applications.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-01-12 without embargo terms","The student, Tianyuan Liu, accepted the attached license on 2021-07-15 at 20:57.","The student, Tianyuan Liu, submitted this Dissertation for approval on 2021-07-15 at 21:03.","This Dissertation was approved for publication on 2021-07-16 at 11:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16975 on 2022-01-12 at 12:45:58","Made available in DSpace on 2022-01-12T21:46:50Z (GMT). No. of bitstreams: 3 LIU-DISSERTATION-2021.pdf: 1771113 bytes, checksum: b469b4762c5be0529c5ad20e511f16da (MD5) LICENSE.txt: 4209 bytes, checksum: d2ebda2d0ecda02d27d0c0fb77624e52 (MD5) PROQUEST_LICENSE.txt: 4555 bytes, checksum: df3af998c518beaa9ba8378c13f5680a (MD5) Previous issue date: 2021-07-16"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/113059"],"dc:language":["en"],"dc:rights":["Copyright 2021 Tianyuan Liu"],"dc:subject":["Drone","Privacy","Hardware Security"],"dc:title":["Hardware-assisted privacy enforcement in commercial drone-as-a-service applications"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:53Z"}