{"id":"https://openalex.org/W3135035054","doi":"https://doi.org/10.1109/asianhost51057.2020.9358251","title":"Boosting Entropy and Enhancing Reliability for Physically Unclonable Functions","display_name":"Boosting Entropy and Enhancing Reliability for Physically Unclonable Functions","publication_year":2020,"publication_date":"2020-12-15","ids":{"openalex":"https://openalex.org/W3135035054","doi":"https://doi.org/10.1109/asianhost51057.2020.9358251","mag":"3135035054"},"language":"en","primary_location":{"id":"doi:10.1109/asianhost51057.2020.9358251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asianhost51057.2020.9358251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)","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/A5024874241","display_name":"Ricardo Valles-Novo","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ricardo Valles-Novo","raw_affiliation_strings":["Klipsch School of Electrical and Computer Engineering, New Mexico State Univeristy, Las Cruces, USA"],"affiliations":[{"raw_affiliation_string":"Klipsch School of Electrical and Computer Engineering, New Mexico State Univeristy, Las Cruces, USA","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024596518","display_name":"Andres Martinez-Sanchez","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andres Martinez-Sanchez","raw_affiliation_strings":["Klipsch School of Electrical and Computer Engineering, New Mexico State Univeristy, Las Cruces, USA"],"affiliations":[{"raw_affiliation_string":"Klipsch School of Electrical and Computer Engineering, New Mexico State Univeristy, Las Cruces, USA","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007102850","display_name":"Wenjie Che","orcid":"https://orcid.org/0000-0001-6216-3583"},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjie Che","raw_affiliation_strings":["Klipsch School of Electrical and Computer Engineering, New Mexico State Univeristy, Las Cruces, USA"],"affiliations":[{"raw_affiliation_string":"Klipsch School of Electrical and Computer Engineering, New Mexico State Univeristy, Las Cruces, USA","institution_ids":["https://openalex.org/I10052268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024874241"],"corresponding_institution_ids":["https://openalex.org/I10052268"],"apc_list":null,"apc_paid":null,"fwci":0.4621,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63472706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":1.0,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9891999959945679,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7295368909835815},{"id":"https://openalex.org/keywords/physical-unclonable-function","display_name":"Physical unclonable function","score":0.6524114012718201},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6120345592498779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5522713661193848},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4847554862499237},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4210607409477234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3899618685245514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31093931198120117},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.26152998208999634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22885239124298096},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10056343674659729}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7295368909835815},{"id":"https://openalex.org/C8643368","wikidata":"https://www.wikidata.org/wiki/Q4046262","display_name":"Physical unclonable function","level":3,"score":0.6524114012718201},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6120345592498779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5522713661193848},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4847554862499237},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4210607409477234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3899618685245514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31093931198120117},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.26152998208999634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22885239124298096},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10056343674659729},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asianhost51057.2020.9358251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asianhost51057.2020.9358251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1551669226","https://openalex.org/W1774699283","https://openalex.org/W1963105592","https://openalex.org/W1991993305","https://openalex.org/W1995875735","https://openalex.org/W2007459082","https://openalex.org/W2095522920","https://openalex.org/W2116374153","https://openalex.org/W2126460857","https://openalex.org/W2129004891","https://openalex.org/W2135386651","https://openalex.org/W2174648984","https://openalex.org/W2583002797","https://openalex.org/W2623431170","https://openalex.org/W2783422844","https://openalex.org/W2793592525","https://openalex.org/W2901280107","https://openalex.org/W2978725006","https://openalex.org/W4251055554","https://openalex.org/W4298300190","https://openalex.org/W6652016717","https://openalex.org/W6676995458","https://openalex.org/W6732850539"],"related_works":["https://openalex.org/W4386278306","https://openalex.org/W2487162673","https://openalex.org/W2594513438","https://openalex.org/W2942366970","https://openalex.org/W2010558539","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W2580259249","https://openalex.org/W4372354731","https://openalex.org/W3038784943"],"abstract_inverted_index":{"Physically":[0],"Unclonable":[1],"Functions":[2],"(PUFs)":[3],"are":[4],"emerging":[5],"hardware":[6],"security":[7,22],"primitives":[8],"that":[9,56,130],"leverage":[10],"random":[11],"variations":[12],"during":[13],"chip":[14],"manufacturing":[15],"process":[16],"to":[17,72,101,145],"generate":[18],"unique":[19],"secrets.":[20],"The":[21,74],"level":[23],"of":[24,42,62,69,113,142,151,167],"generated":[25],"PUF":[26,63,84,126,136],"secrets":[27],"is":[28,36],"mainly":[29],"determined":[30],"by":[31,79,88,108],"its":[32],"unpredictability":[33],"feature":[34],"which":[35],"typically":[37],"evaluated":[38],"using":[39],"the":[40,59,67,81,103,131,140,147,158,165],"metric":[41],"entropy":[43,64,78,137],"bits.":[44,117,170],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49,97],"a":[50,98,110,122,154],"novel":[51],"Pairwise":[52],"Distinct-Modulus":[53],"(PDM)":[54],"technique":[55,76,133,160],"significantly":[57,134],"improves":[58],"upper":[60,149],"bound":[61,150],"bits":[65,86,138],"from":[66,139],"scale":[68,141],"log2(N!)":[70],"up":[71,144],"O(Nl).":[73],"PDM":[75],"boosts":[77,135],"eliminating":[80],"correlation":[82],"within":[83],"response":[85,116,169],"caused":[87],"element":[89],"reuse":[90],"in":[91],"conventional":[92],"pairwise":[93],"comparison.":[94],"We":[95],"also":[96],"reliability-enhancing":[99,159],"scheme":[100],"compensate":[102],"impact":[104],"on":[105,121,164],"reducing":[106],"reliability":[107],"saving":[109],"significant":[111],"portion":[112],"potential":[114],"reliable":[115,168],"Experimental":[118],"results":[119],"based":[120],"published":[123],"large-scale":[124],"RO":[125],"frequency":[127],"dataset":[128],"validated":[129],"proposed":[132],"O(N.log2(N))":[143],"approach":[146],"new":[148],"O(Nl)":[152],"with":[153],"comparable":[155],"reliability,":[156],"and":[157],"saves":[161],"4x":[162],"more":[163],"percentage":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}