{"id":"https://openalex.org/W2995089893","doi":"https://doi.org/10.1109/dyspan.2019.8935862","title":"Finding a \u2018New\u2019 Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning","display_name":"Finding a \u2018New\u2019 Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2995089893","doi":"https://doi.org/10.1109/dyspan.2019.8935862","mag":"2995089893"},"language":"en","primary_location":{"id":"doi:10.1109/dyspan.2019.8935862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dyspan.2019.8935862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","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/A5056951095","display_name":"Andrey Gritsenko","orcid":"https://orcid.org/0000-0001-5074-7282"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrey Gritsenko","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733697","display_name":"Zifeng Wang","orcid":"https://orcid.org/0000-0002-0068-9042"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zifeng Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018084268","display_name":"Tong Jian","orcid":"https://orcid.org/0000-0003-3886-1909"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Jian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042038501","display_name":"Jennifer Dy","orcid":"https://orcid.org/0000-0002-8430-134X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Dy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080483470","display_name":"Kaushik Chowdhury","orcid":"https://orcid.org/0000-0002-3570-2622"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Chowdhury","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049931304","display_name":"Stratis Ioannidis","orcid":"https://orcid.org/0000-0001-8355-4751"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stratis Ioannidis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5056951095"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":3.6126,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.94524474,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9840999841690063,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/haystack","display_name":"Haystack","score":0.866207480430603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8004648685455322},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.650978147983551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6288148164749146},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5788020491600037},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5255419611930847},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.486606240272522},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4746687412261963},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4646242558956146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46118906140327454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3555419445037842},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10844987630844116}],"concepts":[{"id":"https://openalex.org/C13424479","wikidata":"https://www.wikidata.org/wiki/Q5687237","display_name":"Haystack","level":2,"score":0.866207480430603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8004648685455322},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.650978147983551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6288148164749146},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5788020491600037},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5255419611930847},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.486606240272522},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4746687412261963},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4646242558956146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46118906140327454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3555419445037842},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10844987630844116},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dyspan.2019.8935862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dyspan.2019.8935862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1499399937","https://openalex.org/W1530232915","https://openalex.org/W1533861849","https://openalex.org/W1964032314","https://openalex.org/W1980668046","https://openalex.org/W1988833430","https://openalex.org/W2012166391","https://openalex.org/W2087414729","https://openalex.org/W2112338171","https://openalex.org/W2115627867","https://openalex.org/W2131672785","https://openalex.org/W2153610999","https://openalex.org/W2155886813","https://openalex.org/W2163605009","https://openalex.org/W2170895945","https://openalex.org/W2194775991","https://openalex.org/W2278373186","https://openalex.org/W2467825424","https://openalex.org/W2596142952","https://openalex.org/W2791256362","https://openalex.org/W2889741439","https://openalex.org/W2903139904","https://openalex.org/W4256177618","https://openalex.org/W6631943919","https://openalex.org/W6679569991","https://openalex.org/W6682400147","https://openalex.org/W6684191040","https://openalex.org/W6754626909"],"related_works":["https://openalex.org/W4253878822","https://openalex.org/W1965563707","https://openalex.org/W1736550718","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128"],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"fingerprinting":[2],"enhances":[3],"security":[4],"and":[5,10,14,92,106,123],"privacy":[6],"of":[7,73,96,103,150],"wireless":[8],"networks":[9],"communications":[11],"by":[12,112,155],"learning":[13,36],"extracting":[15],"unique":[16],"characteristics":[17],"embedded":[18],"in":[19,34,47,101],"transmitted":[20],"signals.":[21],"Deep":[22],"learning-based":[23],"approaches":[24],"learn":[25],"radio":[26,53],"fingerprints":[27],"without":[28,87],"hand-engineering":[29],"features.":[30],"One":[31],"persisting":[32],"drawback":[33],"deep":[35],"methods":[37],"is":[38,60],"they":[39],"identify":[40],"only":[41],"devices":[42,154],"that":[43,82],"are":[44],"previously":[45,152],"observed":[46],"a":[48,52,56,79,89,116,128,139],"training":[49],"set:":[50],"if":[51],"signal":[54],"from":[55],"new,":[57],"unseen,":[58],"device":[59,67,141],"passed":[61],"through":[62],"the":[63,65,74,97,147],"classifier,":[64],"source":[66],"will":[68],"be":[69],"classified":[70],"as":[71],"one":[72],"known":[75],"devices.":[76],"We":[77,109],"propose":[78],"novel":[80],"approach":[81,137],"facilitates":[83],"new":[84,129,140],"class":[85],"detection":[86],"retraining":[88],"neural":[90],"network,":[91],"perform":[93],"extensive":[94],"analysis":[95],"proposed":[98],"model":[99,104],"both":[100],"terms":[102],"parameters":[105],"real-world":[107],"datasets.":[108],"accomplish":[110],"this":[111],"first":[113],"breaking":[114],"down":[115],"longer":[117],"transmission":[118,130],"burst":[119],"into":[120],"smaller":[121],"slices,":[122],"assessing":[124],"classifier":[125],"confidence":[126],"on":[127,132],"based":[131],"per":[133],"slice":[134],"statistics:":[135],"our":[136],"detects":[138],"with":[142],"76%":[143],"accuracy,":[144],"while":[145],"reducing":[146],"classification":[148],"accuracy":[149],"500":[151],"seen":[153],"no":[156],"more":[157],"than":[158],"10%.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
