{"id":"https://openalex.org/W4226124430","doi":"https://doi.org/10.1504/ijcnds.2022.121197","title":"Device fingerprinting using deep convolutional neural networks","display_name":"Device fingerprinting using deep convolutional neural networks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226124430","doi":"https://doi.org/10.1504/ijcnds.2022.121197"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcnds.2022.121197","pdf_url":null,"source":{"id":"https://openalex.org/S156554173","display_name":"International Journal of Communication Networks and Distributed Systems","issn_l":"1754-3916","issn":["1754-3916","1754-3924"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5039427686","display_name":"Sandhya Aneja","orcid":"https://orcid.org/0000-0003-2266-4951"},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"education","lineage":["https://openalex.org/I189462010"]}],"countries":["BN"],"is_corresponding":false,"raw_author_name":"Sandhya Aneja","raw_affiliation_strings":["Faculty of Integrated Tehnologies, Universiti Brunei Darussalam, Brunei Darussalam, Brunei"],"affiliations":[{"raw_affiliation_string":"Faculty of Integrated Tehnologies, Universiti Brunei Darussalam, Brunei Darussalam, Brunei","institution_ids":["https://openalex.org/I189462010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072569465","display_name":"Nagender Aneja","orcid":"https://orcid.org/0000-0003-4681-6411"},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"education","lineage":["https://openalex.org/I189462010"]}],"countries":["BN"],"is_corresponding":false,"raw_author_name":"Nagender Aneja","raw_affiliation_strings":["Faculty of Science, Universiti Brunei Darussalam, Brunei Darussalam, Brunei"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Universiti Brunei Darussalam, Brunei Darussalam, Brunei","institution_ids":["https://openalex.org/I189462010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077320731","display_name":"Bharat Bhargava","orcid":"https://orcid.org/0000-0003-3803-8672"},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bharat Bhargava","raw_affiliation_strings":["Department of Computer Science, Purdue University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020244707","display_name":"Rajarshi Roy Chowdhury","orcid":"https://orcid.org/0000-0001-9235-3687"},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"education","lineage":["https://openalex.org/I189462010"]}],"countries":["BN"],"is_corresponding":false,"raw_author_name":"Rajarshi Roy Chowdhury","raw_affiliation_strings":["Faculty of Integrated Tehnologies, Universiti Brunei Darussalam, Brunei Darussalam, Brunei"],"affiliations":[{"raw_affiliation_string":"Faculty of Integrated Tehnologies, Universiti Brunei Darussalam, Brunei Darussalam, Brunei","institution_ids":["https://openalex.org/I189462010"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.847,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.812421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":93},"biblio":{"volume":"28","issue":"2","first_page":"171","last_page":"171"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987,"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":0.9858,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9773,"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/traffic-classification","display_name":"Traffic classification","score":0.52681637},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.48001662},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.44854185},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.4445902},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4202989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8847568},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5867368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55158955},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.52681637},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.49879837},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.48796457},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.48001662},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45356888},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.44854185},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4445902},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4400157},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4202989},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41911572},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4019645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3364126},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28272232},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcnds.2022.121197","pdf_url":null,"source":{"id":"https://openalex.org/S156554173","display_name":"International Journal of Communication Networks and Distributed Systems","issn_l":"1754-3916","issn":["1754-3916","1754-3924"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.52}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293863212","https://openalex.org/W3030774134","https://openalex.org/W3008853525","https://openalex.org/W2773751105","https://openalex.org/W2339806289","https://openalex.org/W2168674042","https://openalex.org/W2104499293","https://openalex.org/W2050261031","https://openalex.org/W2012465643","https://openalex.org/W1671124163"],"abstract_inverted_index":{"Device":[0],"fingerprinting":[1,95],"is":[2,30,44,85],"a":[3,7,22,47,59,63],"problem":[4],"of":[5,25,56,78,89,96,100,160,166],"identifying":[6],"network":[8,11,26,84],"device":[9,19,94,119,126,139,151],"using":[10],"traffic":[12,27],"data":[13],"to":[14,45,61,169],"secure":[15],"against":[16],"cyber-attacks.":[17],"Automated":[18],"classification":[20,158],"from":[21,176],"large":[23],"set":[24],"features":[28],"space":[29],"challenging":[31],"for":[32,93],"the":[33,37,42,68,105,141,144,150,153,157,161,167,171,183],"devices":[34,99],"connected":[35],"in":[36,146,152],"cyberspace.":[38],"In":[39],"this":[40],"work,":[41],"idea":[43],"define":[46],"device-specific":[48],"unique":[49],"fingerprint":[50],"by":[51],"analysing":[52],"solely":[53],"inter-arrival":[54,90],"time":[55,91],"packets":[57],"as":[58],"feature":[60],"identify":[62,143],"device.":[64],"Neural":[65],"networks":[66],"are":[67,136,173],"universal":[69],"function":[70],"approximation":[71],"which":[72],"learn":[73],"abstract,":[74],"highlevel,":[75],"nonlinear":[76],"representation":[77],"training":[79],"data.":[80],"Deep":[81],"convolution":[82],"neural":[83],"used":[86],"on":[87],"images":[88],"signature":[92],"58":[97],"non-IoT":[98],"5-11":[101],"types.":[102],"To":[103],"evaluate":[104],"performance,":[106],"we":[107],"compared":[108],"ResNet-50":[109],"layer":[110,114],"and":[111,148],"basic":[112],"CNN-5":[113],"architectures.":[115],"We":[116,128],"observed":[117],"that":[118,131],"type":[120],"identification":[121],"models":[122,135,142,162,168,181],"perform":[123],"better":[124],"than":[125],"identification.":[127],"also":[129],"found":[130],"when":[132],"deep":[133],"learning":[134],"attacked":[137],"over":[138],"signature,":[140,147],"change":[145],"classify":[149],"wrong":[154],"class":[155],"thereby":[156],"performance":[159,165],"degrades.":[163],"The":[164],"detect":[170],"attacks":[172],"significantly":[174],"different":[175],"each":[177],"other":[178],"though":[179],"both":[180],"indicate":[182],"system":[184],"under":[185],"attack.":[186]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4226124430","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5}],"updated_date":"2025-01-20T09:07:58.353255","created_date":"2022-05-05"}