{"id":"https://openalex.org/W3204733820","doi":"https://doi.org/10.1109/icws53863.2021.00083","title":"NPS-AntiClone: Identity Cloning Detection based on Non-Privacy-Sensitive User Profile Data","display_name":"NPS-AntiClone: Identity Cloning Detection based on Non-Privacy-Sensitive User Profile Data","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3204733820","doi":"https://doi.org/10.1109/icws53863.2021.00083","mag":"3204733820"},"language":"en","primary_location":{"id":"doi:10.1109/icws53863.2021.00083","doi":"https://doi.org/10.1109/icws53863.2021.00083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icws53863.2021.00083","pdf_url":null,"source":{"id":"https://openalex.org/S4363608934","display_name":"IEEE International Conference on Web Services (ICWS)","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":"2021 IEEE International Conference on Web Services (ICWS)","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/2109.15179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ahmed Alharbi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ahmed Alharbi","raw_affiliation_strings":["School of Computing Technologies, Centre for Cyber Security Research and Innovation, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Technologies, Centre for Cyber Security Research and Innovation, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005267734","display_name":"Hai Dong","orcid":"https://orcid.org/0000-0002-7033-5688","observed_orcids":["https://orcid.org/0000-0002-7033-5688"]},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hai Dong","raw_affiliation_strings":["School of Computing Technologies, Centre for Cyber Security Research and Innovation, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Technologies, Centre for Cyber Security Research and Innovation, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xun Yi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xun Yi","raw_affiliation_strings":["School of Computing Technologies, Centre for Cyber Security Research and Innovation, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Technologies, Centre for Cyber Security Research and Innovation, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":null,"display_name":"Prabath Abeysekara","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Prabath Abeysekara","raw_affiliation_strings":["School of Computing Technologies, Centre for Cyber Security Research and Innovation, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Technologies, Centre for Cyber Security Research and Innovation, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":0.3349,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44244436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"1","issue":null,"first_page":"618","last_page":"628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9312000274658203,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9312000274658203,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.01119999960064888,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.009700000286102295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-sensing","display_name":"social sensing","score":0.8980000019073486},{"id":"https://openalex.org/keywords/user-profile-data","display_name":"user profile data","score":0.6880000233650208},{"id":"https://openalex.org/keywords/embedding-learning","display_name":"embedding learning","score":0.8389999866485596},{"id":"https://openalex.org/keywords/unsupervised-anomaly-detection","display_name":"unsupervised anomaly detection","score":0.6769999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692799985408783},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6700999736785889},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.664900004863739},{"id":"https://openalex.org/C121050878","wikidata":"https://www.wikidata.org/wiki/Q5135020","display_name":"Cloning (programming)","level":2,"score":0.6273999810218811},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5821999907493591},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5722000002861023},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.506600022315979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4973999857902527},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4546999931335449},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.44449999928474426},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4366999864578247},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4027999937534332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3675000071525574},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30410000681877136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C555379026","wikidata":"https://www.wikidata.org/wiki/Q977772","display_name":"Identity management","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C2987946170","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relationship","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icws53863.2021.00083","doi":"https://doi.org/10.1109/icws53863.2021.00083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icws53863.2021.00083","pdf_url":null,"source":{"id":"https://openalex.org/S4363608934","display_name":"IEEE International Conference on Web Services (ICWS)","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":"2021 IEEE International Conference on Web Services (ICWS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2109.15179","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.15179","pdf_url":"https://arxiv.org/pdf/2109.15179","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":"pmh:oai:alma61RMIT.INST:11281478280001341","doi":null,"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ICWS53863.2021.00083","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27592443","doi":null,"is_oa":false,"landing_page_url":"https://figshare.com/articles/conference_contribution/NPS-AntiClone_Identity_Cloning_Detection_based_on_Non-Privacy-Sensitive_User_Profile_Data/27592443","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"Conference contribution"},{"id":"doi:10.48550/arxiv.2109.15179","doi":"https://doi.org/10.48550/arxiv.2109.15179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2109.15179","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":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.15179","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.15179","pdf_url":"https://arxiv.org/pdf/2109.15179","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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204733820.pdf","grobid_xml":"https://content.openalex.org/works/W3204733820.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1670132599","https://openalex.org/W1767117126","https://openalex.org/W1963872805","https://openalex.org/W1968206427","https://openalex.org/W1980298600","https://openalex.org/W1983663462","https://openalex.org/W1999521929","https://openalex.org/W2021185827","https://openalex.org/W2025341678","https://openalex.org/W2112483153","https://openalex.org/W2120111750","https://openalex.org/W2146076383","https://openalex.org/W2187089797","https://openalex.org/W2204756796","https://openalex.org/W2512549881","https://openalex.org/W2574953090","https://openalex.org/W2590019597","https://openalex.org/W2592362528","https://openalex.org/W2735618773","https://openalex.org/W2754745969","https://openalex.org/W2766042000","https://openalex.org/W2896457183","https://openalex.org/W2899756295","https://openalex.org/W2945757489","https://openalex.org/W2962756421","https://openalex.org/W2963341956","https://openalex.org/W2970641574","https://openalex.org/W3008614899","https://openalex.org/W3011574394","https://openalex.org/W3134428556","https://openalex.org/W4249992252","https://openalex.org/W7055868998"],"related_works":["https://openalex.org/W6889299598","https://openalex.org/W4403390893","https://openalex.org/W3209372624","https://openalex.org/W6891996573","https://openalex.org/W3006604805","https://openalex.org/W6949920859","https://openalex.org/W4396867494","https://openalex.org/W2086876778","https://openalex.org/W2112483153","https://openalex.org/W4415125814"],"abstract_inverted_index":{"Social":[0],"sensing":[1],"is":[2],"a":[3,66,110,122,135,139,142,146,155,186,198],"paradigm":[4],"that":[5,204],"allows":[6],"crowd-sourcing":[7],"data":[8,15,93],"from":[9,95,158],"humans":[10],"and":[11,29,120,145,189,215],"devices.":[12],"This":[13,87],"sensed":[14],"(e.g.":[16],"social":[17,27,45,96],"network":[18,46,143],"posts)":[19],"can":[20,39],"be":[21,40],"hosted":[22],"in":[23],"social-sensor":[24,32,50,61],"clouds":[25,51],"(i.e.":[26],"networks)":[28],"delivered":[30],"as":[31],"cloud":[33,62],"services":[34,38],"(SocSen":[35],"services).":[36],"These":[37],"identified":[41],"by":[42,52,83],"their":[43],"providers'":[44,56],"accounts.":[47],"Attackers":[48],"intrude":[49],"cloning":[53,73,212],"SocSen":[54,69],"service":[55,70],"user":[57,91],"profiles":[58],"to":[59,77,98,179],"deceive":[60],"users.":[63],"We":[64,192],"propose":[65],"novel":[67],"unsupervised":[68],"provider":[71],"identity":[72,85,101,211],"detection":[74,213],"approach,":[75],"NPS-AntiClone,":[76],"prevent":[78],"the":[79,159,172,208],"detrimental":[80],"outcomes":[81],"caused":[82],"such":[84],"deception.":[86],"approach":[88,196],"leverages":[89],"non-privacy-sensitive":[90],"profile":[92,147],"gathered":[94],"networks":[97],"perform":[99],"cloned":[100,187],"detection.":[102],"It":[103],"consists":[104],"of":[105],"three":[106,131],"main":[107],"components:":[108],"1)":[109],"multi-view":[111,126,161],"account":[112,127,188],"representation":[113,128,162],"model,":[114],"2)":[115],"an":[116],"embedding":[117,151,157,178],"learning":[118,152,217],"model":[119,129,153],"3)":[121],"prediction":[123],"model.":[124],"The":[125,150,201],"forms":[130],"different":[132],"views":[133],"for":[134],"given":[136],"identity,":[137],"namely":[138],"post":[140],"view,":[141],"view":[144],"attribute":[148],"view.":[149],"learns":[154],"single":[156],"generated":[160],"using":[163,197],"Weighted":[164],"Generalized":[165],"Canonical":[166],"Correlation":[167],"Analysis.":[168],"Finally,":[169],"NPS-AntiClone":[170,205],"calculates":[171],"cosine":[173],"similarity":[174],"between":[175],"two":[176,183],"accounts'":[177],"predict":[180],"whether":[181],"these":[182],"accounts":[184],"contain":[185],"its":[190],"victim.":[191],"evaluated":[193],"our":[194],"proposed":[195],"real-world":[199],"dataset.":[200],"results":[202],"showed":[203],"significantly":[206],"outperforms":[207],"existing":[209],"state-of-the-art":[210],"techniques":[214],"machine":[216],"approaches.":[218]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-10-11T00:00:00"}
