{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/79875"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/79875","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Enabling a New Smart Manufacturing Ecosystem with Compliance, Efficiency and Accountability","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Song, Chen"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Xu, Wenyao","Computer Science and Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-07-30T15:10:40Z","date_published":"2019-07-30T15:10:40Z","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/10477/79875","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Xu, Wenyao","Computer Science and Engineering"]},{"key":"dc:creator","label":"Author","values":["Song, Chen"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-07-30T15:10:40Z","2019","2019-04-23 12:21:39"]},{"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/10477/79875"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Additive manufacturing (AM), also known as 3D printing, has been hailed as the third industrial revolution in the unique way that products are conceived, designed, manufactured, and distributed to end users. Through layer-by-layer fabrication, 3D printing can build complex objects with a wide variety of materials and functions, opening up tremendous opportunities in aerospace, automotive, defense, biomedical, and energy industries. These new applications have formed the emerging 3D printing ecosystem and have correspondingly raised specific functional and ethical demands. We postulate three fundamental aspects in this unique cyber- physical system (CPS) as compliance, efficiency and accountability. In particular, compliance guarantees the correctness of the 3D printing process with respect to the origin design and avoids the potential digital hacking. Efficiency refers to the ability of the 3D printing system to effectively operate when the manufacturing is decentralized from conventional factories to restricted edge nodes (e.g., out in the remote field). Accountability provides the retrieval function to trace down the source information given any physical 3D print, which is in desperate need when evidences show the abuse of 3D printing to fabricate unethical and illegal products.In this dissertation, we take three unique steps to study and facilitate the corresponding three core facets for a sustainable 3D printing environment. First, we point out the emerging cyber attacks towards the 3D printing digital domain, which corrupt the original design file without user awareness. Specifically, we exploit the feasibility of protecting the 3D printing fabrication in the physical domain using the commercial off-the-shelf smartphone. We reconstruct the real-time printing content by leveraging smartphone side-channel information. The proposed reverse-engineering approach offers the remote and pervasive supervision upon the 3D printing content to counter against the malicious tampering of digital designs in the present of cyber attacks. In such a way, we facilitate the compliant 3D printing for the mission-critical applications. Second, we foreseen the demand of remote energy-constrained 3D printing in mission-critical applications and consider the energy efficiency of the 3D printing system. In detail, we propose a cross-layer instruction-level architecture to resolve the energy constrain in portable 3D printing scenarios. We investigate the energy behavior of the 3D printing instructions and refine our system based on the unique properties of mechatronic CPS (i.e., instruction-inertia and instruction-delay). The immediately deployable solution dramatically reduces the energy consumption of the 3D printing process without inducing any alteration to the hardware. Lastly, we identify the upcoming 3D printing related crimes where the attackers are more capable of manufacturing different kinds of criminal tools taking advantage of the 3D printing technology. To enable the effective forensic investigation, we argue that 3D printers possess unique fingerprints, which arise from hardware imperfections during the manufacturing process. Leveraging these fingerprints, we develop an information retrieval framework which can precisely trace the physical object to its source 3D printer based on its fingerprint, and therefore assist the forensic analysis."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Enabling a New Smart Manufacturing Ecosystem with Compliance, Efficiency and Accountability"]}]}],"canonical_facts":{"dc:contributor":["Xu, Wenyao","Computer Science and Engineering"],"dc:creator":["Song, Chen"],"dc:date":["2019-07-30T15:10:40Z","2019","2019-04-23 12:21:39"],"dc:description":["Ph.D.","Additive manufacturing (AM), also known as 3D printing, has been hailed as the third industrial revolution in the unique way that products are conceived, designed, manufactured, and distributed to end users. Through layer-by-layer fabrication, 3D printing can build complex objects with a wide variety of materials and functions, opening up tremendous opportunities in aerospace, automotive, defense, biomedical, and energy industries. These new applications have formed the emerging 3D printing ecosystem and have correspondingly raised specific functional and ethical demands. We postulate three fundamental aspects in this unique cyber- physical system (CPS) as compliance, efficiency and accountability. In particular, compliance guarantees the correctness of the 3D printing process with respect to the origin design and avoids the potential digital hacking. Efficiency refers to the ability of the 3D printing system to effectively operate when the manufacturing is decentralized from conventional factories to restricted edge nodes (e.g., out in the remote field). Accountability provides the retrieval function to trace down the source information given any physical 3D print, which is in desperate need when evidences show the abuse of 3D printing to fabricate unethical and illegal products.In this dissertation, we take three unique steps to study and facilitate the corresponding three core facets for a sustainable 3D printing environment. First, we point out the emerging cyber attacks towards the 3D printing digital domain, which corrupt the original design file without user awareness. Specifically, we exploit the feasibility of protecting the 3D printing fabrication in the physical domain using the commercial off-the-shelf smartphone. We reconstruct the real-time printing content by leveraging smartphone side-channel information. The proposed reverse-engineering approach offers the remote and pervasive supervision upon the 3D printing content to counter against the malicious tampering of digital designs in the present of cyber attacks. In such a way, we facilitate the compliant 3D printing for the mission-critical applications. Second, we foreseen the demand of remote energy-constrained 3D printing in mission-critical applications and consider the energy efficiency of the 3D printing system. In detail, we propose a cross-layer instruction-level architecture to resolve the energy constrain in portable 3D printing scenarios. We investigate the energy behavior of the 3D printing instructions and refine our system based on the unique properties of mechatronic CPS (i.e., instruction-inertia and instruction-delay). The immediately deployable solution dramatically reduces the energy consumption of the 3D printing process without inducing any alteration to the hardware. Lastly, we identify the upcoming 3D printing related crimes where the attackers are more capable of manufacturing different kinds of criminal tools taking advantage of the 3D printing technology. To enable the effective forensic investigation, we argue that 3D printers possess unique fingerprints, which arise from hardware imperfections during the manufacturing process. Leveraging these fingerprints, we develop an information retrieval framework which can precisely trace the physical object to its source 3D printer based on its fingerprint, and therefore assist the forensic analysis."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/79875"],"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":["Enabling a New Smart Manufacturing Ecosystem with Compliance, Efficiency and Accountability"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:19Z"}