{"id":"https://openalex.org/W2035407142","doi":"https://doi.org/10.1109/dft.2012.6378191","title":"Parametric counterfeit IC detection via Support Vector Machines","display_name":"Parametric counterfeit IC detection via Support Vector Machines","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2035407142","doi":"https://doi.org/10.1109/dft.2012.6378191","mag":"2035407142"},"language":"en","primary_location":{"id":"doi:10.1109/dft.2012.6378191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dft.2012.6378191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101967980","display_name":"Ke Huang","orcid":"https://orcid.org/0000-0002-1587-9877"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ke Huang","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas, Dallas, Richardson, TX, USA","Dept. of Electrical Engineering , University of Texas at Dallas , Richardson , TX , 75080"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas, Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Dept. of Electrical Engineering , University of Texas at Dallas , Richardson , TX , 75080","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039431688","display_name":"John M. Carulli","orcid":null},"institutions":[{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John M Carulli","raw_affiliation_strings":["Texas Instruments, Inc., Dallas, TX, USA","Texas Instruments Inc., 12500 TI Boulevard, MS 8741, Dallas, TX 75243"],"affiliations":[{"raw_affiliation_string":"Texas Instruments, Inc., Dallas, TX, USA","institution_ids":["https://openalex.org/I74760111"]},{"raw_affiliation_string":"Texas Instruments Inc., 12500 TI Boulevard, MS 8741, Dallas, TX 75243","institution_ids":["https://openalex.org/I74760111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078818440","display_name":"Yiorgos Makris","orcid":"https://orcid.org/0000-0002-4322-0068"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiorgos Makris","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas, Dallas, Richardson, TX, USA","Dept. of Electrical Engineering , University of Texas at Dallas , Richardson , TX , 75080"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas, Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Dept. of Electrical Engineering , University of Texas at Dallas , Richardson , TX , 75080","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101967980"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":5.4011,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.96027682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12495","display_name":"Electrostatic Discharge in Electronics","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8553263545036316},{"id":"https://openalex.org/keywords/counterfeit","display_name":"Counterfeit","score":0.8391115665435791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6802466511726379},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6722245216369629},{"id":"https://openalex.org/keywords/integrated-circuit","display_name":"Integrated circuit","score":0.524976909160614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47135892510414124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4504859149456024},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4160168170928955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3831428289413452},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3548523783683777},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16861268877983093}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8553263545036316},{"id":"https://openalex.org/C2779356469","wikidata":"https://www.wikidata.org/wiki/Q502918","display_name":"Counterfeit","level":2,"score":0.8391115665435791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6802466511726379},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6722245216369629},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.524976909160614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47135892510414124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4504859149456024},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4160168170928955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3831428289413452},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3548523783683777},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16861268877983093},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dft.2012.6378191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dft.2012.6378191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307801","display_name":"Texas Instruments","ror":"https://ror.org/03vsmv677"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1584309135","https://openalex.org/W1976765014","https://openalex.org/W2095767129","https://openalex.org/W2102969696","https://openalex.org/W2130114739","https://openalex.org/W2132870739","https://openalex.org/W2153635508","https://openalex.org/W2164152592","https://openalex.org/W2172000360","https://openalex.org/W2543188300"],"related_works":["https://openalex.org/W3191226418","https://openalex.org/W2357749344","https://openalex.org/W4323356230","https://openalex.org/W2362200800","https://openalex.org/W1539823648","https://openalex.org/W4290078996","https://openalex.org/W3113783116","https://openalex.org/W4372352523","https://openalex.org/W1579156572","https://openalex.org/W4233184255"],"abstract_inverted_index":{"We":[0,75],"present":[1],"a":[2,6,35,41,83],"method":[3,81],"to":[4,63,93,98],"detect":[5],"common":[7],"type":[8],"of":[9,43,56,78,85,102,116],"counterfeit":[10],"Integrated":[11],"Circuits":[12],"(ICs),":[13],"namely":[14],"used":[15],"ones,":[16],"from":[17],"their":[18],"brand":[19,46],"new":[20,47],"counterparts":[21],"using":[22,39,82],"Support":[23],"Vector":[24],"Machines":[25],"(SVMs).":[26],"In":[27],"particular,":[28],"we":[29,32,108],"demonstrate":[30,76],"that":[31],"can":[33],"train":[34],"one-class":[36],"SVM":[37],"classifier":[38],"only":[40],"distribution":[42],"process":[44],"variation-affected":[45],"devices,":[48],"but":[49],"without":[50],"prior":[51],"information":[52],"regarding":[53],"the":[54,60,79,100,110,113],"impact":[55,101],"transistor":[57],"aging":[58,103],"on":[59,71],"IC":[61],"behavior,":[62],"accurately":[64],"distinguish":[65],"between":[66],"these":[67],"two":[68],"classes":[69],"based":[70],"simple":[72],"parametric":[73],"measurements.":[74],"effectiveness":[77],"proposed":[80],"set":[84],"actual":[86],"fabricated":[87],"devices":[88],"which":[89],"have":[90],"been":[91],"subjected":[92],"burn-in":[94],"test,":[95],"in":[96],"order":[97],"mimic":[99],"degradation":[104],"over":[105],"time,":[106],"and":[107,112],"discuss":[109],"limitations":[111],"potential":[114],"extensions":[115],"this":[117],"approach.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
