{"id":"https://openalex.org/W4387129757","doi":"https://doi.org/10.1109/tifs.2023.3320608","title":"Output Positioning to Derive Maximum Entropy From Physical Unclonable Functions","display_name":"Output Positioning to Derive Maximum Entropy From Physical Unclonable Functions","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387129757","doi":"https://doi.org/10.1109/tifs.2023.3320608"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2023.3320608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3320608","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5065829696","display_name":"Saeed Abdolinezhad","orcid":"https://orcid.org/0000-0002-1018-3002"},"institutions":[{"id":"https://openalex.org/I913140155","display_name":"Offenburg University of Applied Sciences","ror":"https://ror.org/03zh5eq96","country_code":"DE","type":"education","lineage":["https://openalex.org/I913140155"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Saeed Abdolinezhad","raw_affiliation_strings":["Institute of Reliable Embedded Systems and Communication Electronics (ivESK), Offenburg University of Applied Sciences, Offenburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1018-3002","affiliations":[{"raw_affiliation_string":"Institute of Reliable Embedded Systems and Communication Electronics (ivESK), Offenburg University of Applied Sciences, Offenburg, Germany","institution_ids":["https://openalex.org/I913140155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045952382","display_name":"Lukas Zimmermann","orcid":"https://orcid.org/0000-0001-8180-9853"},"institutions":[{"id":"https://openalex.org/I4210119362","display_name":"Hahn-Schickard-Gesellschaft f\u00fcr angewandte Forschung","ror":"https://ror.org/02reezy47","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210119362"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Zimmermann","raw_affiliation_strings":["Hahn-Schickard Institute, Villingen-Schwenningen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hahn-Schickard Institute, Villingen-Schwenningen, Germany","institution_ids":["https://openalex.org/I4210119362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019197766","display_name":"Axel Sikora","orcid":"https://orcid.org/0000-0003-0878-2919"},"institutions":[{"id":"https://openalex.org/I4210119362","display_name":"Hahn-Schickard-Gesellschaft f\u00fcr angewandte Forschung","ror":"https://ror.org/02reezy47","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210119362"]},{"id":"https://openalex.org/I913140155","display_name":"Offenburg University of Applied Sciences","ror":"https://ror.org/03zh5eq96","country_code":"DE","type":"education","lineage":["https://openalex.org/I913140155"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel Sikora","raw_affiliation_strings":["Institute of Reliable Embedded Systems and Communication Electronics (ivESK), Offenburg University of Applied Sciences, Offenburg, Germany","Hahn-Schickard Institute, Villingen-Schwenningen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0878-2919","affiliations":[{"raw_affiliation_string":"Institute of Reliable Embedded Systems and Communication Electronics (ivESK), Offenburg University of Applied Sciences, Offenburg, Germany","institution_ids":["https://openalex.org/I913140155"]},{"raw_affiliation_string":"Hahn-Schickard Institute, Villingen-Schwenningen, Germany","institution_ids":["https://openalex.org/I4210119362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1533,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77110266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"359","last_page":"371"},"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":0.9901999831199646,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9858999848365784,"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/computer-science","display_name":"Computer science","score":0.8225629329681396},{"id":"https://openalex.org/keywords/key-generation","display_name":"Key generation","score":0.8202471137046814},{"id":"https://openalex.org/keywords/physical-unclonable-function","display_name":"Physical unclonable function","score":0.7796616554260254},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6600174903869629},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.6184276342391968},{"id":"https://openalex.org/keywords/hardware-security-module","display_name":"Hardware security module","score":0.48686474561691284},{"id":"https://openalex.org/keywords/security-analysis","display_name":"Security analysis","score":0.4625197649002075},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4616242051124573},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.42001429200172424},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.39343395829200745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37206217646598816},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32399100065231323},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3203410506248474},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3166494369506836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8225629329681396},{"id":"https://openalex.org/C163173736","wikidata":"https://www.wikidata.org/wiki/Q3308558","display_name":"Key generation","level":3,"score":0.8202471137046814},{"id":"https://openalex.org/C8643368","wikidata":"https://www.wikidata.org/wiki/Q4046262","display_name":"Physical unclonable function","level":3,"score":0.7796616554260254},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6600174903869629},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.6184276342391968},{"id":"https://openalex.org/C39217717","wikidata":"https://www.wikidata.org/wiki/Q1432354","display_name":"Hardware security module","level":3,"score":0.48686474561691284},{"id":"https://openalex.org/C38369872","wikidata":"https://www.wikidata.org/wiki/Q7445009","display_name":"Security analysis","level":2,"score":0.4625197649002075},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4616242051124573},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.42001429200172424},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.39343395829200745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37206217646598816},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32399100065231323},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3203410506248474},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3166494369506836},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tifs.2023.3320608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3320608","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},{"id":"pmh:oai:opus.hs-offenburg.de:8306","is_oa":false,"landing_page_url":"https://opus.hs-offenburg.de/frontdoor/index/index/docId/8306","pdf_url":null,"source":{"id":"https://openalex.org/S4377196587","display_name":"Opus-HSO (Offenburg University of Applied Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913140155","host_organization_name":"Offenburg University of Applied Sciences","host_organization_lineage":["https://openalex.org/I913140155"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1991993305","https://openalex.org/W1995875735","https://openalex.org/W1998241453","https://openalex.org/W2000171858","https://openalex.org/W2012327282","https://openalex.org/W2016111717","https://openalex.org/W2032551902","https://openalex.org/W2123482651","https://openalex.org/W2126460857","https://openalex.org/W2130351941","https://openalex.org/W2148330234","https://openalex.org/W2151759197","https://openalex.org/W2166261478","https://openalex.org/W2172255798","https://openalex.org/W2291918266","https://openalex.org/W2317538430","https://openalex.org/W2533078038","https://openalex.org/W2558090922","https://openalex.org/W2560411358","https://openalex.org/W2570008916","https://openalex.org/W2586432806","https://openalex.org/W2744755899","https://openalex.org/W2769712015","https://openalex.org/W2804462675","https://openalex.org/W2805077076","https://openalex.org/W2884935215","https://openalex.org/W2893992531","https://openalex.org/W2918825306","https://openalex.org/W2932701630","https://openalex.org/W2963154589","https://openalex.org/W3030011624","https://openalex.org/W3037269162","https://openalex.org/W3094312506","https://openalex.org/W3095728990","https://openalex.org/W3115037361","https://openalex.org/W3118180162","https://openalex.org/W3167047035","https://openalex.org/W3198259684","https://openalex.org/W3209932692","https://openalex.org/W4251055554","https://openalex.org/W6742303719"],"related_works":["https://openalex.org/W4292862360","https://openalex.org/W3209932692","https://openalex.org/W3094096662","https://openalex.org/W2896245892","https://openalex.org/W3083074270","https://openalex.org/W2910831494","https://openalex.org/W4294167375","https://openalex.org/W4362564225","https://openalex.org/W4311263387","https://openalex.org/W2781034093"],"abstract_inverted_index":{"Physical":[0],"unclonable":[1],"functions":[2],"(PUFs)":[3],"are":[4,56,163,219],"increasingly":[5],"generating":[6],"attention":[7],"in":[8,50,60,109],"the":[9,15,41,53,61,76,81,85,91,106,113,132,136,147,154,156,171,181,186,191,194,206,209,223,237],"field":[10],"of":[11,17,63,138,170,193,208,216],"hardware-based":[12],"security":[13,42,200],"for":[14,44,104,135],"Internet":[16],"Things":[18],"(IoT).":[19],"A":[20],"PUF,":[21,229],"as":[22,40,124],"its":[23],"name":[24],"implies,":[25],"is":[26,69,97,100,122,128,175,202],"a":[27,31,101,167,198,226],"physical":[28],"element":[29],"with":[30],"special":[32],"and":[33,37,46,65,78,141,159],"unique":[34],"inherent":[35],"characteristic":[36],"can":[38,179,232],"act":[39],"anchor":[43],"authentication":[45],"cryptographic":[47],"applications.":[48],"Keeping":[49],"mind":[51],"that":[52,177,236],"PUF":[54,77,92,107,139,244],"outputs":[55,108],"prone":[57],"to":[58,71,79,111,130,189],"change":[59],"presence":[62],"noise":[64],"environmental":[66],"variations,":[67],"it":[68,174,231],"critical":[70],"derive":[72],"reliable":[73],"keys":[74],"from":[75],"use":[80],"maximum":[82],"entropy":[83],"at":[84],"same":[86],"time.":[87],"In":[88],"this":[89,217],"work,":[90],"output":[93],"positioning":[94],"(POP)":[95],"method":[96,103,210,224,239],"proposed,":[98],"which":[99,127,204],"novel":[102],"grouping":[105,137],"order":[110],"maximize":[112,180],"extracted":[114],"entropy.":[115],"To":[116,152],"achieve":[117],"this,":[118],"an":[119],"offset":[120],"data":[121],"introduced":[123],"helper":[125],"data,":[126],"used":[129],"relax":[131],"constraints":[133,187],"considered":[134],"outputs,":[140],"deriving":[142],"more":[143],"entropy,":[144,173,183],"while":[145,184],"reducing":[146],"secret":[148,195],"key":[149,157,160,245],"error":[150],"bits.":[151],"implement":[153],"method,":[155],"enrollment":[158],"generation":[161,246],"algorithms":[162],"presented.":[164],"Based":[165],"on":[166,225],"theoretical":[168],"analysis":[169,201],"achieved":[172,182],"proven":[176],"POP":[178],"respecting":[185],"induced":[188],"guarantee":[190],"reliability":[192],"key.":[196],"Moreover,":[197],"detailed":[199],"presented,":[203],"shows":[205],"resilience":[207],"against":[211],"cyber-security":[212],"attacks.":[213],"The":[214],"findings":[215],"work":[218],"evaluated":[220],"by":[221],"applying":[222],"hybrid":[227],"printed":[228],"where":[230],"be":[233],"practically":[234],"shown":[235],"proposed":[238],"outperforms":[240],"other":[241],"existing":[242],"group-based":[243],"methods.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}