{"id":"https://openalex.org/W4315783193","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008779","title":"Analytical Method of Physical Layer Authentication for Performance Evaluation","display_name":"Analytical Method of Physical Layer Authentication for Performance Evaluation","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315783193","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008779"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps56602.2022.10008779","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008779","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","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/A5005806453","display_name":"Xinjin Lu","orcid":"https://orcid.org/0000-0002-5861-8570"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjin Lu","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110911326","display_name":"Jing Lei","orcid":"https://orcid.org/0000-0002-5838-5826"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lei","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071070368","display_name":"Yuxin Shi","orcid":"https://orcid.org/0000-0001-8529-6549"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Shi","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088230040","display_name":"He Fang","orcid":"https://orcid.org/0000-0002-4562-9190"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"He Fang","raw_affiliation_strings":["Western University,Department of Electrical and Computer Engineering,London,ON,Canada,N6A5B9"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western University,Department of Electrical and Computer Engineering,London,ON,Canada,N6A5B9","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100318442","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-4133-2215"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5947,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84382855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998000264167786,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998000264167786,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9929999709129333,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9868000149726868,"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/eavesdropping","display_name":"Eavesdropping","score":0.7773759365081787},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.6856500506401062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721692681312561},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.6352905035018921},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6258013248443604},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5814084410667419},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5343368053436279},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4974994957447052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49568068981170654},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.45579585433006287},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4516415596008301},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43899422883987427},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4249926507472992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2833561301231384},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2650323510169983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19895502924919128},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11414024233818054},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0971163809299469},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09364625811576843}],"concepts":[{"id":"https://openalex.org/C2776788033","wikidata":"https://www.wikidata.org/wiki/Q320769","display_name":"Eavesdropping","level":2,"score":0.7773759365081787},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.6856500506401062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721692681312561},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6352905035018921},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6258013248443604},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5814084410667419},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5343368053436279},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4974994957447052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49568068981170654},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.45579585433006287},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4516415596008301},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43899422883987427},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4249926507472992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2833561301231384},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2650323510169983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19895502924919128},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11414024233818054},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0971163809299469},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09364625811576843},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps56602.2022.10008779","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008779","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1995524702","https://openalex.org/W2001427138","https://openalex.org/W2149191412","https://openalex.org/W2727951952","https://openalex.org/W2808669017","https://openalex.org/W2808690133","https://openalex.org/W2887906137","https://openalex.org/W3024056085","https://openalex.org/W3158635658","https://openalex.org/W3210684970","https://openalex.org/W4206180546"],"related_works":["https://openalex.org/W3026705917","https://openalex.org/W2516026999","https://openalex.org/W2155410265","https://openalex.org/W2769689807","https://openalex.org/W3121990887","https://openalex.org/W3166880716","https://openalex.org/W2959329152","https://openalex.org/W2904430835","https://openalex.org/W3193707396","https://openalex.org/W4287118701"],"abstract_inverted_index":{"To":[0],"defend":[1],"against":[2],"the":[3,8,14,33,44,47,63,68,76,87,100,115],"eavesdropping":[4],"and":[5,73,82],"spoofing":[6],"attacks,":[7],"physical":[9,34],"layer":[10,35],"authentication":[11,36],"technique":[12,37],"utilizes":[13],"unique":[15],"attributes":[16],"of":[17,46,71,80],"channel":[18,39],"or":[19],"device":[20],"for":[21,32,55,93],"identifying":[22],"attackers.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,42,65],"investigate":[28],"an":[29],"analytical":[30],"method":[31],"utilizing":[38],"phase.":[40],"Specifically,":[41],"simplify":[43],"expressions":[45,70],"complex":[48],"binary":[49,77],"hypothesis":[50,78],"variables":[51],"which":[52,113],"are":[53,103],"available":[54],"calculating":[56],"probability":[57],"density":[58],"functions":[59],"(PDFs).":[60],"Based":[61],"on":[62],"PDFs,":[64],"further":[66],"derive":[67],"closed-form":[69],"expectation":[72],"variance":[74],"under":[75,106],"test":[79],"$\\mathcal{H}_{0}$":[81],"$\\mathcal{H}_{1}$":[83],"as":[84,86],"well":[85],"receiver":[88],"operator":[89],"characteristic":[90],"(ROC)":[91],"curve":[92],"performance":[94],"evaluation.":[95],"Simulation":[96],"results":[97],"show":[98],"that":[99],"theoretical":[101],"curves":[102],"tight":[104],"even":[105],"very":[107],"low":[108],"signal-to-noise":[109],"ratio":[110],"(SNR)":[111],"regions,":[112],"outperforms":[114],"benchmark.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}