{"id":"https://openalex.org/W7148444634","doi":"https://doi.org/10.1109/wifs66636.2025.00013","title":"Physical Layer Authentication with Likelihood Test Using Machine Learning with Artificial Dataset","display_name":"Physical Layer Authentication with Likelihood Test Using Machine Learning with Artificial Dataset","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7148444634","doi":"https://doi.org/10.1109/wifs66636.2025.00013"},"language":"en","primary_location":{"id":"doi:10.1109/wifs66636.2025.00013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs66636.2025.00013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074436801","display_name":"Francesco Ardizzon","orcid":"https://orcid.org/0000-0001-6066-7550"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Ardizzon","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132810918","display_name":"Stefano Tomasin","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Tomasin","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69177266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"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":0.12960000336170197,"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":0.12960000336170197,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.11869999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.06419999897480011,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45969998836517334},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.42809998989105225},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4018999934196472},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.335999995470047},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3278999924659729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31529998779296875}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6632000207901001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488999724388123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5253000259399414},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.42809998989105225},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wifs66636.2025.00013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs66636.2025.00013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3589938","is_oa":false,"landing_page_url":"https://hdl.handle.net/11577/3589938","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1500690868","https://openalex.org/W2068783850","https://openalex.org/W2265043488","https://openalex.org/W2739846485","https://openalex.org/W2969006276","https://openalex.org/W3022742213","https://openalex.org/W4200204773","https://openalex.org/W4288388697","https://openalex.org/W4300773733","https://openalex.org/W4385804802","https://openalex.org/W4391640384","https://openalex.org/W4410359154","https://openalex.org/W4413179842"],"related_works":[],"abstract_inverted_index":{"In":[0,102,168],"physical":[1],"layer":[2],"authentication":[3],"(PLA)":[4],"mechanisms,":[5],"a":[6,9,14,21,41,51,74,110],"verifier":[7],"applies":[8],"test":[10,48],"to":[11,28,65,85],"decide":[12],"whether":[13],"received":[15],"message":[16],"has":[17],"been":[18],"transmitted":[19],"by":[20,112,154],"legitimate":[22,36,54,165],"user":[23],"or":[24],"an":[25,142],"intruder,":[26],"according":[27],"some":[29],"measured":[30],"channel":[31],"features":[32],"(CFs).":[33],"When":[34,50],"the":[35,46,120,138,146,161,164,179],"CF":[37,156],"statistics":[38],"are":[39,90,183],"known,":[40],"well-known":[42],"good":[43,75],"solution":[44],"is":[45,56,83,152],"likelihood":[47],"(LT).":[49],"dataset":[52,140,144,151],"of":[53,77,163],"CFs":[55],"available,":[57],"machine":[58,130],"learning":[59],"(ML)":[60],"models":[61,80,89],"can":[62],"be":[63],"used":[64],"perform":[66],"one-class":[67],"classification":[68],"(OCC).":[69],"Still,":[70],"currently,":[71],"i)":[72],"while":[73],"understanding":[76],"how":[78],"ML":[79,114],"make":[81],"decisions":[82],"important":[84],"ensure":[86],"security,":[87],"these":[88],"not":[91,177],"explainable":[92],"and":[93,126,141,190],"ii)":[94],"statisticsand":[95],"ML-based":[96],"solutions":[97],"appear":[98],"as":[99,119,134],"distinct":[100],"solutions.":[101],"this":[103],"paper,":[104],"we":[105,170],"aim":[106],"at":[107],"bridging":[108],"such":[109],"gap":[111],"obtaining":[113],"PLA":[115,186],"verifiers":[116],"that":[117,172],"operate":[118],"LT":[121],"via":[122],"neural":[123],"network":[124],"(NN)":[125],"least-square":[127],"support":[128],"vector":[129],"(SVM)":[131],"models,":[132],"trained":[133],"two-class":[135],"classifiers":[136],"on":[137,187],"single-class":[139],"artificial":[143,150],"for":[145],"negative":[147],"class.":[148],"The":[149],"obtained":[153,184],"generating":[155],"vectors":[157],"uniformly":[158],"distributed":[159],"over":[160],"domain":[162],"class":[166],"dataset.":[167],"turn,":[169],"show":[171],"autoencoder":[173],"classifier":[174],"generally":[175],"does":[176],"provide":[178],"LT.":[180],"Numerical":[181],"results":[182],"considering":[185],"both":[188],"wireless":[189],"underwater":[191],"acoustic":[192],"channels.":[193]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-04-03T00:00:00"}