Due to the proliferation of hardware Trojans in third party Intellectual Property (IP) designs, the issue of hardware security has risen to the forefront of computer engineering. Because of the miniscule size yet devastating effects of hardware Trojans, few detection methods have been presented that adequately address this problem facing the hardware industry. One such method with the ability to detect hardware Trojans is Structural Checking. This methodology analyzes a soft IP at the register-transfer level to discover malicious inclusions. An extension of this methodology is presented that expands the list of signal functionalities, termed assets, in addition to introducing a methodology for matching soft IPs to a functionality category, termed Golden Reference Library Matching. Trojan detection methods are introduced that utilize the results of Golden Reference Library Matching as well as internal characteristics of the IP. This methodology is verified using benchmarks developed by a trusted third party.
","abstract_html":"<p>Due to the proliferation of hardware Trojans in third party Intellectual Property (IP) designs, the issue of hardware security has risen to the forefront of computer engineering. Because of the miniscule size yet devastating effects of hardware Trojans, few detection methods have been presented that adequately address this problem facing the hardware industry. One such method with the ability to detect hardware Trojans is Structural Checking. This methodology analyzes a soft IP at the register-transfer level to discover malicious inclusions. An extension of this methodology is presented that expands the list of signal functionalities, termed assets, in addition to introducing a methodology for matching soft IPs to a functionality category, termed Golden Reference Library Matching. Trojan detection methods are introduced that utilize the results of Golden Reference Library Matching as well as internal characteristics of the IP. This methodology is verified using benchmarks developed by a trusted third party.</p>","abstract_has_math":false,"creators":["Weaver, Lucas"],"institution":null,"degree_name":"Master of Science in Computer Engineering (MSCmpE)","degree_level":"Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Parkerson, James P.","Thompson, Dale R."],"advisors":["Di, Jia"],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-05-01T07:00:00Z","date_published":"2016-05-01T07:00:00Z","updated_at":"2026-07-24T00:59:01Z","subjects":["Applied sciences","Golden reference library","Hardware security","Hardware trojan","Hardware Systems","Information Security"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.uark.edu/etd/1460","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Parkerson, James P.","Thompson, Dale R."]},{"key":"dc:contributor.advisor","label":"Advisor","values":["Di, Jia"]},{"key":"dc:creator","label":"Author","values":["Weaver, Lucas"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-09-29T07:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Computer Engineering (MSCmpE)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Applied sciences","Golden reference library","Hardware security","Hardware trojan","Hardware Systems","Information Security"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.uark.edu/etd/1460"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Due to the proliferation of hardware Trojans in third party Intellectual Property (IP) designs, the issue of hardware security has risen to the forefront of computer engineering. Because of the miniscule size yet devastating effects of hardware Trojans, few detection methods have been presented that adequately address this problem facing the hardware industry. One such method with the ability to detect hardware Trojans is Structural Checking. This methodology analyzes a soft IP at the register-transfer level to discover malicious inclusions. An extension of this methodology is presented that expands the list of signal functionalities, termed assets, in addition to introducing a methodology for matching soft IPs to a functionality category, termed Golden Reference Library Matching. Trojan detection methods are introduced that utilize the results of Golden Reference Library Matching as well as internal characteristics of the IP. This methodology is verified using benchmarks developed by a trusted third party.
"]},{"key":"dc:title","label":"Title","values":["Hardware Trojan Detection via Golden Reference Library Matching"]}]}],"canonical_facts":{"dc:contributor":["Parkerson, James P.","Thompson, Dale R."],"dc:contributor.advisor":["Di, Jia"],"dc:creator":["Weaver, Lucas"],"dc:date":["2016"],"dc:date.available":["2017-09-29T07:00:00Z"],"dc:description.abstract":["Due to the proliferation of hardware Trojans in third party Intellectual Property (IP) designs, the issue of hardware security has risen to the forefront of computer engineering. Because of the miniscule size yet devastating effects of hardware Trojans, few detection methods have been presented that adequately address this problem facing the hardware industry. One such method with the ability to detect hardware Trojans is Structural Checking. This methodology analyzes a soft IP at the register-transfer level to discover malicious inclusions. An extension of this methodology is presented that expands the list of signal functionalities, termed assets, in addition to introducing a methodology for matching soft IPs to a functionality category, termed Golden Reference Library Matching. Trojan detection methods are introduced that utilize the results of Golden Reference Library Matching as well as internal characteristics of the IP. This methodology is verified using benchmarks developed by a trusted third party.
"],"dc:identifier":["https://scholarworks.uark.edu/etd/1460"],"dc:subject":["Applied sciences","Golden reference library","Hardware security","Hardware trojan","Hardware Systems","Information Security"],"dc:title":["Hardware Trojan Detection via Golden Reference Library Matching"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science in Computer Engineering (MSCmpE)"]},"updated_at":"2026-07-24T00:59:01Z"}