{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/79872"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/79872","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Hardware-Rooted Device Authentication for Smart Devices","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Ba, Zhongjie; 0000-0003-0921-8869"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Ren, Kui","Computer Science and Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-07-30T15:10:39Z","date_published":"2019-07-30T15:10:39Z","updated_at":"2026-07-27T19:05:19Z","subjects":["computer science"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/79872","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Ren, Kui","Computer Science and Engineering"]},{"key":"dc:creator","label":"Author","values":["Ba, Zhongjie; 0000-0003-0921-8869"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-07-30T15:10:39Z","2019","2019-04-09 10:25:08"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["computer science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/79872"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Smart devices play an increasingly important role in our daily life. Unintentional faults and malicious attacks could bring great danger to human lives and the environment, especially in safety-critical applications like medical devices, automobiles, building controls and the smart grid. However, due to the fact that industry is driven by functional requirements and fast-moving markets, a large number of sensors and devices are distributed in public areas unprotected and do not have the resources to support complex cryptographic mechanisms, which makes the authentication of smart devices a big challenge. In this dissertation, we seek to address this issue through exploiting the physical characteristics of their embedded sensors. In particular, we propose and investigate hardware-rooted device authentication systems which utilize the hardware fingerprint of various on-board sensors as the unique identity of smart Devices. We first study the security issues underlying the hardware-rooted device authentication. In the literature, an enormous amount of research has been carried out in an attempt to identify devices through modeling the manufacturing imperfections of their built-in transducers. However, the vast majority of the work in this area has focused on device tracking and identification. For adversarial settings like forensics and authentication, it remains unclear whether these methods will provide reliable identification results when the outputs of transducers are tampered by adversaries intentionally. In our work, we describe the architecture of hardware-rooted device authentication modalities and pro-pose two kinds of challenge-response schemes for the authentication of different transducers. We outline two specific attacks that need to be taken into account while designing such system and describe several desirable properties that a fingerprinting method should have in order to be applicable for the authentication scenario."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Hardware-Rooted Device Authentication for Smart Devices"]}]}],"canonical_facts":{"dc:contributor":["Ren, Kui","Computer Science and Engineering"],"dc:creator":["Ba, Zhongjie; 0000-0003-0921-8869"],"dc:date":["2019-07-30T15:10:39Z","2019","2019-04-09 10:25:08"],"dc:description":["Ph.D.","Smart devices play an increasingly important role in our daily life. Unintentional faults and malicious attacks could bring great danger to human lives and the environment, especially in safety-critical applications like medical devices, automobiles, building controls and the smart grid. However, due to the fact that industry is driven by functional requirements and fast-moving markets, a large number of sensors and devices are distributed in public areas unprotected and do not have the resources to support complex cryptographic mechanisms, which makes the authentication of smart devices a big challenge. In this dissertation, we seek to address this issue through exploiting the physical characteristics of their embedded sensors. In particular, we propose and investigate hardware-rooted device authentication systems which utilize the hardware fingerprint of various on-board sensors as the unique identity of smart Devices. We first study the security issues underlying the hardware-rooted device authentication. In the literature, an enormous amount of research has been carried out in an attempt to identify devices through modeling the manufacturing imperfections of their built-in transducers. However, the vast majority of the work in this area has focused on device tracking and identification. For adversarial settings like forensics and authentication, it remains unclear whether these methods will provide reliable identification results when the outputs of transducers are tampered by adversaries intentionally. In our work, we describe the architecture of hardware-rooted device authentication modalities and pro-pose two kinds of challenge-response schemes for the authentication of different transducers. We outline two specific attacks that need to be taken into account while designing such system and describe several desirable properties that a fingerprinting method should have in order to be applicable for the authentication scenario."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/79872"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["computer science"],"dc:title":["Hardware-Rooted Device Authentication for Smart Devices"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:19Z"}