{"id":"https://openalex.org/W2947996158","doi":"https://doi.org/10.1109/sahcn.2019.8824956","title":"IoT Network Security from the Perspective of Adversarial Deep Learning","display_name":"IoT Network Security from the Perspective of Adversarial Deep Learning","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2947996158","doi":"https://doi.org/10.1109/sahcn.2019.8824956","mag":"2947996158"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2019.8824956","doi":"https://doi.org/10.1109/sahcn.2019.8824956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2019.8824956","pdf_url":null,"source":{"id":"https://openalex.org/S7407086276","display_name":"IEEE International Conference on Sensing, Communication, and Networking (SECON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.00076","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089570143","display_name":"Yalin E. Sagduyu","orcid":"https://orcid.org/0000-0003-1576-5527","observed_orcids":["https://orcid.org/0000-0003-1576-5527"]},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yalin E. Sagduyu","raw_affiliation_strings":["Intelligent Automation, Inc, Rockville, MD, USA","Intelligent Automation, Inc, Rockville, MD, 20855, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]},{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, 20855, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054863127","display_name":"Yi Shi","orcid":"https://orcid.org/0000-0002-6110-3084","observed_orcids":["https://orcid.org/0000-0002-6110-3084"]},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]},{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Shi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA","Intelligent Automation, Inc, Rockville, MD, 20855, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, 20855, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024995674","display_name":"Tugba Erpek","orcid":"https://orcid.org/0000-0003-0168-2587","observed_orcids":["https://orcid.org/0000-0003-0168-2587"]},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]},{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tugba Erpek","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, USA","Intelligent Automation, Inc, Rockville, MD, 20855, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, 20855, USA","institution_ids":["https://openalex.org/I4210130203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5468,"has_fulltext":true,"cited_by_count":120,"citation_normalized_percentile":{"value":0.96854168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9771000146865845,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9771000146865845,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/iot-security","display_name":"Internet of Things security","score":0.925000011920929},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"adversarial learning","score":0.9520000219345093},{"id":"https://openalex.org/keywords/denial-of-service-attacks","display_name":"denial-of-service attacks","score":0.7350000143051147},{"id":"https://openalex.org/keywords/jamming","display_name":"jamming","score":0.6980000138282776},{"id":"https://openalex.org/keywords/evasion-attacks","display_name":"evasion attacks","score":0.6869999766349792},{"id":"https://openalex.org/keywords/spectrum-sensing","display_name":"spectrum sensing","score":0.5870000123977661},{"id":"https://openalex.org/keywords/adversarial-defense","display_name":"adversarial defense","score":0.5509999990463257},{"id":"https://openalex.org/keywords/wireless-communication","display_name":"wireless communication","score":0.382999986410141}],"concepts":[{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.7091397047042847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061383724212646},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.6449794769287109},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5242588520050049},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5186528563499451},{"id":"https://openalex.org/C2779079576","wikidata":"https://www.wikidata.org/wiki/Q17092823","display_name":"Jamming","level":2,"score":0.5093516111373901},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5084103941917419},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.47951796650886536},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.44270309805870056},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.43252819776535034},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.42922282218933105},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3856010437011719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31529128551483154},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2662671208381653},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/sahcn.2019.8824956","doi":"https://doi.org/10.1109/sahcn.2019.8824956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2019.8824956","pdf_url":null,"source":{"id":"https://openalex.org/S7407086276","display_name":"IEEE International Conference on Sensing, Communication, and Networking (SECON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.00076","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.00076","pdf_url":"https://arxiv.org/pdf/1906.00076","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,"listed_in":[],"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":"mag:2947996158","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1906.00076","pdf_url":null,"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,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.00076","doi":"https://doi.org/10.48550/arxiv.1906.00076","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.00076","pdf_url":null,"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,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.00076","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.00076","pdf_url":"https://arxiv.org/pdf/1906.00076","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,"listed_in":[],"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":[{"id":"https://metadata.un.org/sdg/9","score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947996158.pdf","grobid_xml":"https://content.openalex.org/works/W2947996158.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W1580713771","https://openalex.org/W2006097871","https://openalex.org/W2051267297","https://openalex.org/W2055574655","https://openalex.org/W2065424480","https://openalex.org/W2095577883","https://openalex.org/W2130509337","https://openalex.org/W2132645110","https://openalex.org/W2132814903","https://openalex.org/W2151298633","https://openalex.org/W2257979135","https://openalex.org/W2272847350","https://openalex.org/W2574448563","https://openalex.org/W2608418534","https://openalex.org/W2610603914","https://openalex.org/W2621148797","https://openalex.org/W2623427976","https://openalex.org/W2690196614","https://openalex.org/W2772457693","https://openalex.org/W2773459750","https://openalex.org/W2786070938","https://openalex.org/W2793350679","https://openalex.org/W2796400872","https://openalex.org/W2853090665","https://openalex.org/W2886189420","https://openalex.org/W2886686944","https://openalex.org/W2888024549","https://openalex.org/W2891797126","https://openalex.org/W2907201671","https://openalex.org/W2908993293","https://openalex.org/W2913608505","https://openalex.org/W2963047971","https://openalex.org/W2963162645","https://openalex.org/W2964277700","https://openalex.org/W3103836116","https://openalex.org/W4211047985"],"related_works":["https://openalex.org/W7203697060","https://openalex.org/W3212137514","https://openalex.org/W3093781690","https://openalex.org/W4376611545","https://openalex.org/W3213644780","https://openalex.org/W4385713380","https://openalex.org/W4410026075","https://openalex.org/W4311373234","https://openalex.org/W4361860626","https://openalex.org/W2784367396"],"abstract_inverted_index":{"Machine":[0],"learning":[1,86],"finds":[2],"rich":[3],"applications":[4,46],"in":[5,50,104,184,243,248],"Internet":[6],"of":[7,27,34,65,75,93,100,106,132,234,265],"Things":[8],"(IoT)":[9],"networks":[10,287],"such":[11,47],"as":[12,48,200],"information":[13],"retrieval,":[14],"traffic":[15],"management,":[16],"spectrum":[17,108],"sensing,":[18],"and":[19,62,87,111,237,245,272,284],"signal":[20],"authentication.":[21],"While":[22],"there":[23],"is":[24],"a":[25,138,212,257],"surge":[26],"interest":[28],"to":[29,56,90,126,157,175,189,203,215,220,240,282],"understand":[30],"the":[31,60,117,119,128,145,153,167,172,177,185,194,209,217,221,224,263,266,269,274],"security":[32],"issues":[33],"machine":[35,85],"learning,":[36],"their":[37],"implications":[38],"have":[39],"not":[40],"been":[41],"understood":[42],"yet":[43],"for":[44,251],"wireless":[45,66,96,154,249],"those":[49],"IoT":[51,70,134,195,252,286],"systems":[52,71],"that":[53,143,228,260],"are":[54],"susceptible":[55],"various":[57],"attacks":[58,230],"due":[59],"open":[61],"broadcast":[63],"nature":[64],"communications.":[67],"To":[68],"support":[69],"with":[72,122,231],"heterogeneous":[73],"devices":[74],"different":[76,232],"priorities,":[77],"we":[78,255],"present":[79],"new":[80,278],"techniques":[81],"built":[82],"upon":[83],"adversarial":[84],"apply":[88],"them":[89],"three":[91],"types":[92],"over-the-air":[94],"(OTA)":[95],"attacks,":[97],"namely":[98],"denial":[99],"service":[101],"(DoS)":[102],"attack":[103,125,155,214,283],"terms":[105],"jamming,":[107],"poisoning":[109],"attack,":[110],"priority":[112],"violation":[113],"attack.":[114],"By":[115],"observing":[116],"spectrum,":[118],"adversary":[120,210,267],"starts":[121],"an":[123,133,190],"exploratory":[124],"infer":[127],"channel":[129,206],"access":[130,207],"algorithm":[131],"transmitter":[135,178,196,222],"by":[136],"building":[137],"deep":[139,289],"neural":[140],"network":[141],"classifier":[142],"predicts":[144],"transmission":[146],"outcomes.":[147],"Based":[148],"on":[149,280],"these":[150,229],"prediction":[151],"results,":[152],"continues":[156],"either":[158],"jam":[159],"data":[160,202,219],"transmissions":[161],"or":[162],"manipulate":[163,216],"sensing":[164,173,198],"results":[165,199],"over":[166,223],"air":[168],"(by":[169],"transmitting":[170],"during":[171],"phase)":[174],"fool":[176],"into":[179],"making":[180],"wrong":[181],"transmit":[182],"decisions":[183],"test":[186],"phase":[187],"(corresponding":[188],"evasion":[191],"attack).":[192],"When":[193],"collects":[197],"training":[201],"retrain":[204],"its":[205],"algorithm,":[208],"launches":[211],"causative":[213],"input":[218],"air.":[225],"We":[226],"show":[227],"levels":[233],"energy":[235],"consumption":[236],"stealthiness":[238],"lead":[239],"significant":[241],"loss":[242],"throughput":[244],"success":[246],"ratio":[247],"communications":[250],"systems.":[253],"Then":[254],"introduce":[256],"defense":[258],"mechanism":[259],"systematically":[261],"increases":[262],"uncertainty":[264],"at":[268],"inference":[270],"stage":[271],"improves":[273],"performance.":[275],"Results":[276],"provide":[277],"insights":[279],"how":[281],"defend":[285],"using":[288],"learning.":[290]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-06-07T00:00:00"}