{"id":"https://openalex.org/W2202530414","doi":"https://doi.org/10.1109/iccd.2015.7357137","title":"A pair selection algorithm for robust RO-PUF against environmental variations and aging","display_name":"A pair selection algorithm for robust RO-PUF against environmental variations and aging","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2202530414","doi":"https://doi.org/10.1109/iccd.2015.7357137","mag":"2202530414"},"language":"en","primary_location":{"id":"doi:10.1109/iccd.2015.7357137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2015.7357137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 33rd IEEE International Conference on Computer Design (ICCD)","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/A5091695146","display_name":"Md Tauhidur Rahman","orcid":"https://orcid.org/0000-0002-0010-6388"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md. Tauhidur Rahman","raw_affiliation_strings":["ECE Department, University of Florida, Gainesville, FL"],"affiliations":[{"raw_affiliation_string":"ECE Department, University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009243659","display_name":"Domenic Forte","orcid":"https://orcid.org/0000-0002-2794-7320"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Domenic Forte","raw_affiliation_strings":["ECE Department, University of Florida, Gainesville, FL"],"affiliations":[{"raw_affiliation_string":"ECE Department, University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016637403","display_name":"Fahim Rahman","orcid":"https://orcid.org/0000-0001-9388-0112"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fahim Rahman","raw_affiliation_strings":["ECE Department, University of Florida, Gainesville, FL"],"affiliations":[{"raw_affiliation_string":"ECE Department, University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073054890","display_name":"Mark Tehranipoor","orcid":"https://orcid.org/0000-0003-4699-3231"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Tehranipoor","raw_affiliation_strings":["ECE Department, University of Florida, Gainesville, FL"],"affiliations":[{"raw_affiliation_string":"ECE Department, University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091695146"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":4.5218,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.94953591,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"415","last_page":"418"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9700000286102295,"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/robustness","display_name":"Robustness (evolution)","score":0.8037764430046082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5578678846359253},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.523845911026001},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.5102074146270752},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4955211877822876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4696924686431885},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.45055556297302246},{"id":"https://openalex.org/keywords/key-generation","display_name":"Key generation","score":0.4425473213195801},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.4268856644630432},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.37794214487075806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2035822570323944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19624295830726624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17933210730552673},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13788267970085144},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10735714435577393},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09707185626029968}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8037764430046082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5578678846359253},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.523845911026001},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5102074146270752},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4955211877822876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4696924686431885},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.45055556297302246},{"id":"https://openalex.org/C163173736","wikidata":"https://www.wikidata.org/wiki/Q3308558","display_name":"Key generation","level":3,"score":0.4425473213195801},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.4268856644630432},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.37794214487075806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2035822570323944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19624295830726624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17933210730552673},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13788267970085144},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10735714435577393},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09707185626029968},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccd.2015.7357137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2015.7357137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 33rd IEEE International Conference on Computer Design (ICCD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1517403092","https://openalex.org/W1585610988","https://openalex.org/W1971935236","https://openalex.org/W1974113657","https://openalex.org/W1991993305","https://openalex.org/W2056378733","https://openalex.org/W2075058667","https://openalex.org/W2088455835","https://openalex.org/W2100661413","https://openalex.org/W2113728962","https://openalex.org/W2116374153","https://openalex.org/W2128111793","https://openalex.org/W2129004891","https://openalex.org/W2137656581","https://openalex.org/W2154347069","https://openalex.org/W2164844110","https://openalex.org/W3021839281","https://openalex.org/W3151293064","https://openalex.org/W4243864971","https://openalex.org/W4247957650","https://openalex.org/W4251055554","https://openalex.org/W6635035540","https://openalex.org/W6643323797","https://openalex.org/W6664196189","https://openalex.org/W6825343983"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W3089171781","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664"],"abstract_inverted_index":{"Physically":[0],"Unclonable":[1],"Functions":[2],"(PUFs)":[3],"have":[4,38,55],"emerged":[5],"as":[6],"a":[7,64],"promising":[8],"security":[9],"primitive":[10],"for":[11,172],"low-cost":[12],"authentication":[13],"and":[14,30,46,81,95,117,147],"cryptographic":[15],"key":[16,158,175],"generation.":[17],"However,":[18],"PUF":[19,42],"stability":[20],"with":[21,53,90,113,120,127,159],"respect":[22,114,121],"to":[23,115,122,129],"temporal":[24],"variations":[25],"still":[26],"limits":[27],"its":[28],"utility":[29],"widespread":[31],"acceptance.":[32],"Previous":[33],"techniques":[34],"in":[35,98,143],"the":[36,50,137,141,167,173],"literature":[37],"focused":[39],"on":[40],"improving":[41],"robustness":[43],"against":[44],"voltage":[45,116],"temperature":[47,82],"variations,":[48],"but":[49],"issues":[51],"associated":[52],"aging":[54,96,101],"been":[56],"largely":[57],"neglected.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"reliable":[65,73],"pair":[66,170],"selection":[67,171],"algorithm":[68],"(RePa)":[69],"that":[70,108,131],"can":[71,152],"generate":[72],"keys":[74],"from":[75],"an":[76],"RO-PUF":[77,169],"under":[78],"aging,":[79],"voltage,":[80],"variations.":[83],"The":[84,100,149],"RePa":[85,126],"approach":[86,151],"selects":[87],"RO":[88],"pairs":[89],"both":[91],"initial":[92],"frequency":[93,111,118],"difference":[94],"rate/slope":[97],"mind.":[99],"slope":[102],"is":[103],"predicted":[104],"by":[105],"exploiting":[106],"correlation":[107],"exists":[109],"between":[110],"variation":[112,119],"aging.":[123],"We":[124],"evaluate":[125],"simulations":[128],"show":[130],"it":[132],"achieves":[133],"significant":[134],"improvement":[135],"over":[136],"current":[138],"state":[139],"of":[140,145],"art":[142],"terms":[144],"reliability":[146],"cost.":[148],"proposed":[150],"achieve":[153],"~":[154,161],"3.0x":[155],"more":[156,163],"robust":[157],"only":[160],"2.3x":[162],"ROs":[164],"required":[165],"than":[166],"conventional":[168],"same":[174],"size.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}