{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/112837"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/112837","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Hashing hardware : identifying hardware during boot-time system verification","abstract":"Modern systems measure the software loaded at boot-time to ensure the machine starts in a trusted state. Such measurements, however, do not include any information about the underlying hardware of the machine. Recent DRAM-based attacks and the growing complexity of the supply chain attest to the importance of measuring hardware at boot. In this thesis, we propose a technique for designing measurement schemes for hardware components. We then apply this technique to designing and implementing a hardware measurement scheme for DRAM on a real system without hardware modifications. Finally, we evaluate our DRAM hardware measurement scheme and demonstrate that it achieves 89% accuracy in mapping a DRAM measurement to the manufacturing process from which that DRAM was produced.","abstract_html":"Modern systems measure the software loaded at boot-time to ensure the machine starts in a trusted state. Such measurements, however, do not include any information about the underlying hardware of the machine. Recent DRAM-based attacks and the growing complexity of the supply chain attest to the importance of measuring hardware at boot. In this thesis, we propose a technique for designing measurement schemes for hardware components. We then apply this technique to designing and implementing a hardware measurement scheme for DRAM on a real system without hardware modifications. Finally, we evaluate our DRAM hardware measurement scheme and demonstrate that it achieves 89% accuracy in mapping a DRAM measurement to the manufacturing process from which that DRAM was produced.","abstract_has_math":false,"creators":["Chilingirian, Berj Krikor"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Stelios Sidiroglou-Douskos and Martin Rinard."],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017","date_published":"2017","updated_at":"2026-07-22T22:22:30Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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Finally, we evaluate our DRAM hardware measurement scheme and demonstrate that it achieves 89% accuracy in mapping a DRAM measurement to the manufacturing process from which that DRAM was produced."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng."]},{"key":"dc:title","label":"Title","values":["Hashing hardware : identifying hardware during boot-time system verification"]}]}],"canonical_facts":{"dc:contributor.advisor":["Stelios Sidiroglou-Douskos and Martin Rinard."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Chilingirian, Berj Krikor"],"dc:date.accessioned":["2017-12-20T17:24:44Z"],"dc:date.available":["2017-12-20T17:24:44Z"],"dc:date.issued":["2017"],"dc:description":["Thesis: M. 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