{"id":"https://openalex.org/W4290996563","doi":"https://doi.org/10.1109/icc45855.2022.9838483","title":"Active Attack Detection Based on Interpretable Channel Fingerprint and Adversarial Autoencoder","display_name":"Active Attack Detection Based on Interpretable Channel Fingerprint and Adversarial Autoencoder","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290996563","doi":"https://doi.org/10.1109/icc45855.2022.9838483"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838483","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","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":"ICC 2022 - IEEE International Conference on Communications","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/A5021597140","display_name":"Zijie Ji","orcid":"https://orcid.org/0000-0001-5213-3380"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijie Ji","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,P.R. China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,P.R. China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038604378","display_name":"Binbing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Binbing Yang","raw_affiliation_strings":["University of Sydney,School of Electrical and Information Engineering,Sydney,NSW,Australia,2006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney,School of Electrical and Information Engineering,Sydney,NSW,Australia,2006","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064721659","display_name":"Phee Lep Yeoh","orcid":"https://orcid.org/0000-0002-2516-4226"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Phee Lep Yeoh","raw_affiliation_strings":["University of Sydney,School of Electrical and Information Engineering,Sydney,NSW,Australia,2006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney,School of Electrical and Information Engineering,Sydney,NSW,Australia,2006","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732087","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-2168-9674"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,P.R. China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,P.R. China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334004","display_name":"Zunwen He","orcid":"https://orcid.org/0000-0002-5584-4855"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunwen He","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,P.R. China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,P.R. China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448724","display_name":"Yonghui Li","orcid":"https://orcid.org/0000-0001-7702-1123"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yonghui Li","raw_affiliation_strings":["University of Sydney,School of Electrical and Information Engineering,Sydney,NSW,Australia,2006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney,School of Electrical and Information Engineering,Sydney,NSW,Australia,2006","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4993","last_page":"4998"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9958000183105469,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9958000183105469,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9617999792098999,"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/T11112","display_name":"Viral Infections and Immunology Research","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8511737585067749},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8025861978530884},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6961124539375305},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5952046513557434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5606592893600464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5175820589065552},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5165480971336365},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48711228370666504},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.47565099596977234},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.46436426043510437},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.45998257398605347},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4021112322807312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3712635040283203},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12461763620376587},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08692902326583862}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511737585067749},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8025861978530884},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6961124539375305},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5952046513557434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5606592893600464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5175820589065552},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5165480971336365},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48711228370666504},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.47565099596977234},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.46436426043510437},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.45998257398605347},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4021112322807312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3712635040283203},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12461763620376587},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08692902326583862},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838483","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","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":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2314565273","https://openalex.org/W2768249397","https://openalex.org/W2792412801","https://openalex.org/W2953526560","https://openalex.org/W2984025449","https://openalex.org/W2999944054","https://openalex.org/W3028203475","https://openalex.org/W3062183366","https://openalex.org/W3086178194","https://openalex.org/W3168698828","https://openalex.org/W3172553205","https://openalex.org/W3193052805","https://openalex.org/W4293568373","https://openalex.org/W6780248173","https://openalex.org/W6796527440"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"how":[3],"to":[4,34],"build":[5],"an":[6,50],"active":[7,82],"attack":[8],"detection":[9,148],"framework":[10],"that":[11,104,146],"is":[12],"driven":[13],"by":[14],"fundamental":[15],"channel":[16,29,81],"modeling":[17],"and":[18,69,131,134],"practical":[19],"wireless":[20,41,80],"datasets.":[21],"Firstly,":[22],"we":[23,48],"propose":[24],"the":[25,35,63,88,95,105,110,120,126,135,139,147,151],"concept":[26],"of":[27,66,79,90,125,150,165],"interpretable":[28],"fingerprints":[30],"(ICFs),":[31],"which":[32,59],"correspond":[33],"spatial-temporal":[36],"parameters":[37,137],"in":[38,114],"real":[39],"physical":[40],"signal":[42],"propagation":[43],"channels.":[44],"Based":[45],"on":[46],"this,":[47],"design":[49],"adversarial":[51],"autoencoder":[52],"(AAE)":[53],"with":[54,160],"a":[55,162],"semi-supervised":[56,107],"learning":[57,73,129],"network,":[58],"takes":[60],"as":[61],"inputs":[62],"power":[64,141],"spectrum":[65,142],"quantized":[67],"ICFs":[68],"enables":[70],"small":[71,115,163],"sample":[72,116],"multiclassification":[74],"tasks":[75],"for":[76,122,128,138],"different":[77],"types":[78],"attacks.":[83],"We":[84,118,144],"have":[85],"experimentally":[86],"verified":[87],"performance":[89],"our":[91],"AAE":[92,153],"network":[93,108,112],"using":[94],"Wireless":[96],"InSite":[97],"ray":[98],"tracing":[99],"software.":[100],"Our":[101],"results":[102],"show":[103,145],"proposed":[106,152],"outperforms":[109],"fully-supervised":[111],"especially":[113],"conditions.":[117],"highlight":[119],"need":[121],"careful":[123],"selection":[124],"hyperparameters":[127],"rate":[130],"mini-batch":[132],"size,":[133],"system":[136],"ICF":[140],"resolution.":[143],"accuracy":[149],"model":[154],"can":[155],"reach":[156],"more":[157],"than":[158],"98%":[159],"only":[161],"number":[164],"input":[166],"samples.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}