{"id":"https://openalex.org/W4406207733","doi":"https://doi.org/10.1109/lcomm.2025.3527931","title":"Spectrum Anomaly Detection Under Multiple Sensors Using Metric-Adversarial Learning","display_name":"Spectrum Anomaly Detection Under Multiple Sensors Using Metric-Adversarial Learning","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4406207733","doi":"https://doi.org/10.1109/lcomm.2025.3527931"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2025.3527931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2025.3527931","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5064569034","display_name":"Haipeng Ji","orcid":"https://orcid.org/0009-0004-3944-903X"},"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":true,"raw_author_name":"Haipeng Ji","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-3944-903X","affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003030833","display_name":"Xiaoqiang Qiao","orcid":"https://orcid.org/0000-0002-5794-1739"},"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":"Xiaoqiang Qiao","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5794-1739","affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422956","display_name":"Jiang Zhang","orcid":"https://orcid.org/0000-0003-0435-655X"},"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":"Jiang Zhang","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032582108","display_name":"Yihang Du","orcid":"https://orcid.org/0000-0002-2731-3029"},"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":"Yihang Du","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2731-3029","affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375701","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0001-5809-0801"},"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":"Tao Zhang","raw_affiliation_strings":["Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5809-0801","affiliations":[{"raw_affiliation_string":"Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"The Sixty-third Research Institute of National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073270057","display_name":"Fayu Wan","orcid":"https://orcid.org/0000-0002-5626-6065"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fayu Wan","raw_affiliation_strings":["Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5626-6065","affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064569034"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00196944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"7","first_page":"1500","last_page":"1504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9922000169754028,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.8204540014266968},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7831545472145081},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7122949361801147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6854138374328613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5381527543067932},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5269247889518738},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.5219613909721375},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5080945491790771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5063420534133911},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4539487361907959},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3398303985595703}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.8204540014266968},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7831545472145081},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7122949361801147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6854138374328613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5381527543067932},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5269247889518738},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5219613909721375},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5080945491790771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5063420534133911},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4539487361907959},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3398303985595703},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2025.3527931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2025.3527931","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8137448553","display_name":null,"funder_award_id":"62371463","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2937347211","https://openalex.org/W3016147814","https://openalex.org/W3088383832","https://openalex.org/W3155757652","https://openalex.org/W3215290057","https://openalex.org/W4281619453","https://openalex.org/W4291743016","https://openalex.org/W4320002904","https://openalex.org/W4322576964","https://openalex.org/W4367146668","https://openalex.org/W4385452994","https://openalex.org/W4387870048","https://openalex.org/W4400771602"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Detecting":[0],"spectrum":[1,8,16,98,119],"anomaly":[2,17,65],"effectively":[3],"is":[4,83,114,125],"vital":[5],"for":[6,96],"the":[7,70,74,103,110,118,122,128,135,139],"security":[9],"of":[10],"critical":[11],"regions.":[12],"Existing":[13],"deep":[14,44],"learning-based":[15],"detection":[18],"(SAD)":[19],"methods":[20],"struggle":[21],"to":[22,61,85,116],"detect":[23],"illegal":[24],"users,":[25],"which":[26],"have":[27],"unknown":[28],"locations":[29],"and":[30,48,90,121],"frequencies.":[31],"To":[32],"overcome":[33],"this":[34,54],"limitation,":[35],"we":[36,101],"propose":[37],"a":[38,58],"multi-sensor":[39],"SAD":[40],"method":[41,137],"based":[42],"on":[43],"metric":[45],"learning":[46],"(DML)":[47],"generative":[49],"adversarial":[50],"network":[51],"(GAN).":[52],"In":[53],"method,":[55],"DML-GAN":[56,68],"adopts":[57],"dual-metric":[59],"approach":[60],"facilitate":[62],"more":[63],"robust":[64],"detection.":[66],"Besides,":[67],"takes":[69],"matrix":[71],"formed":[72],"by":[73],"sensing":[75],"results":[76,132],"from":[77],"multiple":[78],"sensors":[79],"as":[80,109,127],"input.":[81],"DML":[82],"adopted":[84],"extract":[86],"semantic":[87,92],"feature":[88,94],"vectors":[89,95,108],"establish":[91],"center":[93],"normal":[97],"data.":[99],"Subsequently,":[100],"calculate":[102],"Mahalanobis":[104],"distance":[105],"between":[106],"these":[107],"first":[111],"metric.":[112,130],"GAN":[113],"employed":[115],"reconstruct":[117],"data,":[120],"reconstruction":[123],"error":[124],"chosen":[126],"second":[129],"Simulation":[131],"show":[133],"that":[134],"proposed":[136],"outperforms":[138],"existing":[140],"methods.":[141]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
