{"id":"https://openalex.org/W2065085533","doi":"https://doi.org/10.1109/cns.2013.6682720","title":"A passive technique for fingerprinting wireless devices with Wired-side Observations","display_name":"A passive technique for fingerprinting wireless devices with Wired-side Observations","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2065085533","doi":"https://doi.org/10.1109/cns.2013.6682720","mag":"2065085533"},"language":"en","primary_location":{"id":"doi:10.1109/cns.2013.6682720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2013.6682720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Conference on Communications and Network Security (CNS)","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/A5019145852","display_name":"A. Selcuk Uluagac","orcid":"https://orcid.org/0000-0002-9823-3464"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Selcuk Uluagac","raw_affiliation_strings":["GT CAP Group, Georgia Institute of Technology, Atlanta, GA, USA","GT CAP Group, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GT CAP Group, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"GT CAP Group, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003329862","display_name":"Sakthi Vignesh Radhakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sakthi V. Radhakrishnan","raw_affiliation_strings":["GT CAP Group, Georgia Institute of Technology, Atlanta, GA, USA","GT CAP Group, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GT CAP Group, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"GT CAP Group, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065740082","display_name":"Cherita Corbett","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cherita Corbett","raw_affiliation_strings":["Johns Hopkins Applied Physics Lab, Laurel, Maryland, USA","Johns Hopkins Appl. Phys. Lab., Laurel, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Applied Physics Lab, Laurel, Maryland, USA","institution_ids":["https://openalex.org/I2802946424"]},{"raw_affiliation_string":"Johns Hopkins Appl. Phys. Lab., Laurel, MD, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023128144","display_name":"Antony Baca","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antony Baca","raw_affiliation_strings":["Johns Hopkins Applied Physics Lab, Laurel, Maryland, USA","Johns Hopkins Appl. Phys. Lab., Laurel, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Applied Physics Lab, Laurel, Maryland, USA","institution_ids":["https://openalex.org/I2802946424"]},{"raw_affiliation_string":"Johns Hopkins Appl. Phys. Lab., Laurel, MD, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033073212","display_name":"Raheem Beyah","orcid":"https://orcid.org/0000-0002-9188-3464"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raheem Beyah","raw_affiliation_strings":["GT CAP Group, Georgia Institute of Technology, Atlanta, GA, USA","GT CAP Group, Georgia Inst. of Technol., Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GT CAP Group, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"GT CAP Group, Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1493,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.79267743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9993000030517578,"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":0.9993000030517578,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9991999864578247,"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":0.991599977016449,"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/computer-science","display_name":"Computer science","score":0.8464131355285645},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6541369557380676},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5285282135009766},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4457201361656189},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.4346637725830078},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3845401406288147},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3340454697608948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32909077405929565},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3000473082065582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8464131355285645},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6541369557380676},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5285282135009766},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4457201361656189},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.4346637725830078},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3845401406288147},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3340454697608948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32909077405929565},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3000473082065582},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cns.2013.6682720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2013.6682720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.707.4963","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.707.4963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.eng.fiu.edu/selcuk/papers/uluagac-gtid-cns-13.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W58365991","https://openalex.org/W1514741286","https://openalex.org/W1537207920","https://openalex.org/W1967726944","https://openalex.org/W2019866007","https://openalex.org/W2029594338","https://openalex.org/W2074855078","https://openalex.org/W2101449154","https://openalex.org/W2104271238","https://openalex.org/W2109425435","https://openalex.org/W2127133592","https://openalex.org/W2127917167","https://openalex.org/W2151043249","https://openalex.org/W2155268652","https://openalex.org/W2155886813","https://openalex.org/W2165572597","https://openalex.org/W6632085599","https://openalex.org/W6679169752"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W3048672182","https://openalex.org/W1509300825","https://openalex.org/W3092582874","https://openalex.org/W2054620577"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"GTID,":[5],"a":[6,28,87,95,101],"technique":[7,80,127,162],"that":[8,54,123],"passively":[9],"fingerprints":[10],"wireless":[11],"devices":[12,70,99,139,141,167],"and":[13,35,50,62,71,86,119,149,168,187,190,202],"their":[14],"types":[15],"from":[16],"the":[17,22,76,159,179],"wired":[18],"backbone.":[19],"GTID":[20,157,182],"exploits":[21],"heterogeneity":[23],"of":[24,30,78,97,104,113,181],"devices,":[25],"which":[26,143],"is":[27,147,158],"function":[29],"different":[31],"device":[32,49,51,72,105],"hardware":[33],"compositions":[34],"variations":[36],"in":[37,59],"devices'":[38],"clock":[39],"skew.":[40],"We":[41,74,107,121,177],"use":[42,63],"statistical":[43],"techniques":[44],"to":[45,68,128,135,153,163,169,197,203],"create":[46],"unique,":[47],"reproducible":[48],"type":[52],"signatures":[53],"represent":[55],"time":[56,189],"variant":[57],"behavior":[58],"network":[60,90],"traffic":[61,114],"artificial":[64],"neural":[65],"networks":[66],"(ANNs)":[67],"classify":[69],"types.":[73],"demonstrate":[75],"efficacy":[77],"our":[79],"on":[81],"both":[82],"an":[83],"isolated":[84],"testbed":[85],"live":[88],"campus":[89],"(during":[91],"peak":[92],"hours)":[93],"using":[94],"corpus":[96],"27":[98],"representing":[100],"wide":[102],"range":[103],"classes.":[106],"collected":[108],"more":[109],"than":[110],"100":[111],"GB":[112],"captures":[115],"for":[116,124,142],"ANN":[117],"training":[118],"classification.":[120],"assert":[122],"any":[125],"fingerprinting":[126,161],"be":[129,133,151,195],"practical,":[130],"it":[131,193],"must":[132,150],"able":[134,152],"detect":[136,164,204],"previously":[137,165],"unseen":[138,166],"(i.e.,":[140],"no":[144],"stored":[145],"signature":[146],"available)":[148],"withstand":[154],"various":[155,174],"attacks.":[156],"first":[160],"illustrate":[170,191],"its":[171],"resilience":[172],"under":[173],"attacker":[175],"models.":[176],"measure":[178],"performance":[180],"by":[183],"considering":[184],"accuracy,":[185],"recall,":[186],"processing":[188],"how":[192],"can":[194],"used":[196],"complement":[198],"existing":[199],"authentication":[200],"systems":[201],"counterfeit":[205],"devices.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}