{"id":"https://openalex.org/W2966098389","doi":"https://doi.org/10.1109/tccn.2020.2990657","title":"Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT","display_name":"Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT","publication_year":2020,"publication_date":"2020-04-28","ids":{"openalex":"https://openalex.org/W2966098389","doi":"https://doi.org/10.1109/tccn.2020.2990657","mag":"2966098389"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2020.2990657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2020.2990657","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Cognitive Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.00195","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001332634","display_name":"Alireza Nooraiepour","orcid":"https://orcid.org/0000-0001-7810-1467"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alireza Nooraiepour","raw_affiliation_strings":["WINLAB, Rutgers University, North Brunswick, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0001-7810-1467","affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University, North Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028718006","display_name":"Waheed U. Bajwa","orcid":"https://orcid.org/0000-0003-4406-5263"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Waheed U. Bajwa","raw_affiliation_strings":["WINLAB, Rutgers University, North Brunswick, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0003-4406-5263","affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University, North Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055303802","display_name":"Narayan B. Mandayam","orcid":"https://orcid.org/0000-0001-5744-0814"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narayan B. Mandayam","raw_affiliation_strings":["WINLAB, Rutgers University, North Brunswick, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0001-5744-0814","affiliations":[{"raw_affiliation_string":"WINLAB, Rutgers University, North Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":1.0723,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81894647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"7","issue":"1","first_page":"239","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9997000098228455,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8634883165359497},{"id":"https://openalex.org/keywords/phy","display_name":"PHY","score":0.8305138349533081},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.8033570647239685},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.7231086492538452},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6602945327758789},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4471196234226227},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3631908595561981},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.28509724140167236},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20188218355178833},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.19692906737327576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8634883165359497},{"id":"https://openalex.org/C41918916","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"PHY","level":4,"score":0.8305138349533081},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.8033570647239685},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.7231086492538452},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6602945327758789},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4471196234226227},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3631908595561981},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.28509724140167236},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20188218355178833},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.19692906737327576}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tccn.2020.2990657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2020.2990657","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Cognitive Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1908.00195","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00195","pdf_url":"https://arxiv.org/pdf/1908.00195","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:alma.01RUT_INST:11664837100004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/journalArticle/Learning-Aided-Physical-Layer-Attacks-Against-Multicarrier/991031665012904646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.00195","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00195","pdf_url":"https://arxiv.org/pdf/1908.00195","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G986650871","display_name":null,"funder_award_id":"ACI-1541069","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1569961519","https://openalex.org/W1957358593","https://openalex.org/W1959608418","https://openalex.org/W1963614665","https://openalex.org/W2048272888","https://openalex.org/W2068574308","https://openalex.org/W2120188593","https://openalex.org/W2135575309","https://openalex.org/W2144333904","https://openalex.org/W2146080444","https://openalex.org/W2153644609","https://openalex.org/W2166944917","https://openalex.org/W2532598462","https://openalex.org/W2556467266","https://openalex.org/W2561314843","https://openalex.org/W2597831797","https://openalex.org/W2622563070","https://openalex.org/W2734408173","https://openalex.org/W2736068844","https://openalex.org/W2755207117","https://openalex.org/W2785519580","https://openalex.org/W2807692250","https://openalex.org/W2893451531","https://openalex.org/W2928212596","https://openalex.org/W2962694065","https://openalex.org/W2963104724","https://openalex.org/W2963190722","https://openalex.org/W2963366547","https://openalex.org/W2963490111","https://openalex.org/W3087940812","https://openalex.org/W3105108969","https://openalex.org/W4295112158","https://openalex.org/W6640963894","https://openalex.org/W6745687250","https://openalex.org/W6748223763"],"related_works":["https://openalex.org/W2369501245","https://openalex.org/W2945523224","https://openalex.org/W4313639042","https://openalex.org/W4283217267","https://openalex.org/W2444418218","https://openalex.org/W2727597159","https://openalex.org/W4241709719","https://openalex.org/W2209485861","https://openalex.org/W1488909492","https://openalex.org/W4234133302"],"abstract_inverted_index":{"Internet-of-Things":[0],"(IoT)":[1],"devices":[2,52],"that":[3,144,238,260],"are":[4,11,157,186,210],"limited":[5],"in":[6,141,159],"power":[7],"and":[8,74,111,153,206,272],"processing":[9],"capabilities":[10],"susceptible":[12],"to":[13,22,25,55,84,96,118,135,188,198,227],"physical":[14],"layer":[15,49],"(PHY)":[16],"spoofing":[17,57,146,243,271],"(signal":[18],"exploitation)":[19],"attacks":[20,60,106,134],"owing":[21],"their":[23,199],"inability":[24],"implement":[26],"a":[27,217,262],"full-blown":[28],"protocol":[29],"stack":[30],"for":[31,46,212],"security.":[32],"The":[33,162],"overwhelming":[34],"adoption":[35],"of":[36,78,100,125,148,191,231,241],"multicarrier":[37],"techniques":[38],"such":[39,137,202,232],"as":[40,83,203],"orthogonal":[41],"frequency":[42,204],"division":[43],"multiplexing":[44],"(OFDM)":[45],"the":[47,68,79,86,112,123,176,222,229,239,242,248,254,268],"PHY":[48,56,76,114,145,200,213],"makes":[50],"IoT":[51],"further":[53],"vulnerable":[54],"attacks.":[58,278],"These":[59],"which":[61,209],"aim":[62],"at":[63,253],"injecting":[64],"bogus/spurious":[65],"data":[66],"into":[67],"receiver,":[69],"involve":[70],"inferring":[71],"transmission":[72],"parameters":[73],"finding":[75],"characteristics":[77,103,201],"transmitted":[80],"signals":[81,196],"so":[82],"spoof":[85],"received":[87],"signal.":[88],"Non-contiguous":[89],"(NC)":[90],"OFDM":[91],"systems":[92,275],"have":[93,97],"been":[94,116],"argued":[95],"low":[98],"probability":[99],"exploitation":[101],"(LPE)":[102],"against":[104,276],"classic":[105],"based":[107,167,220],"on":[108,168,221,247],"cyclostationary":[109],"analysis,":[110],"corresponding":[113],"has":[115],"deemed":[117],"be":[119,189],"secure.":[120],"However,":[121],"with":[122,151],"advent":[124],"machine":[126],"learning":[127,192],"(ML)":[128],"algorithms,":[129],"adversaries":[130,149,244],"can":[131],"devise":[132],"data-driven":[133],"compromise":[136],"systems.":[138],"It":[139],"is":[140,166,225,258],"this":[142,160],"vein":[143],"performance":[147,240],"equipped":[150],"supervised":[152,163],"unsupervised":[154,177],"ML":[155,164],"tools":[156],"investigated":[158],"paper.":[161],"approach":[165],"estimation/classification":[169],"utilizing":[170,261],"deep":[171],"neural":[172],"networks":[173],"(DNN)":[174],"while":[175],"one":[178],"employs":[179],"variational":[180],"autoencoders":[181],"(VAEs).":[182],"In":[183,215],"particular,":[184],"VAEs":[185],"shown":[187,259],"capable":[190],"representations":[193],"from":[194,270],"NC-OFDM":[195,274],"related":[197],"pattern":[205,266],"modulation":[207],"scheme,":[208],"useful":[211],"spoofing.":[214],"addition,":[216],"new":[218],"metric":[219],"disentanglement":[223],"principle":[224],"proposed":[226],"measure":[228],"quality":[230],"learned":[233],"representations.":[234],"Simulation":[235],"results":[236],"demonstrate":[237],"highly":[245],"depends":[246],"subcarriers'":[249],"allocation":[250],"patterns":[251],"used":[252],"transmitter.":[255],"Particularly,":[256],"it":[257],"random":[263],"subcarrier":[264],"occupancy":[265],"precludes":[267],"adversary":[269],"secures":[273],"ML-based":[277]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2020-11-23T00:00:00"}
