{"id":"https://openalex.org/W1981151012","doi":"https://doi.org/10.1145/1568234.1568251","title":"Intelligent hybrid approach to false identity detection","display_name":"Intelligent hybrid approach to false identity detection","publication_year":2009,"publication_date":"2009-06-08","ids":{"openalex":"https://openalex.org/W1981151012","doi":"https://doi.org/10.1145/1568234.1568251","mag":"1981151012"},"language":"en","primary_location":{"id":"doi:10.1145/1568234.1568251","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1568234.1568251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"type":"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/A5049097389","display_name":"Tossapon Boongoen","orcid":"https://orcid.org/0009-0009-4849-8948"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Tossapon Boongoen","raw_affiliation_strings":["Aberystwyth University, Aberystwyth, UK"],"affiliations":[{"raw_affiliation_string":"Aberystwyth University, Aberystwyth, UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036010787","display_name":"Qiang Shen","orcid":"https://orcid.org/0000-0001-9333-4605"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiang Shen","raw_affiliation_strings":["Aberystwyth University, Aberystwyth, UK"],"affiliations":[{"raw_affiliation_string":"Aberystwyth University, Aberystwyth, UK","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049097389"],"corresponding_institution_ids":["https://openalex.org/I16038530"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12441942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.998199999332428,"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/T10028","display_name":"Topic Modeling","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.7636539936065674},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.757013201713562},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.694068431854248},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6346052289009094},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47610482573509216},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44821375608444214},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.43430596590042114},{"id":"https://openalex.org/keywords/identity-theft","display_name":"Identity theft","score":0.41753146052360535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3484937846660614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3255253732204437},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09689769148826599}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7636539936065674},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.757013201713562},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.694068431854248},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6346052289009094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47610482573509216},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44821375608444214},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.43430596590042114},{"id":"https://openalex.org/C522325796","wikidata":"https://www.wikidata.org/wiki/Q471880","display_name":"Identity theft","level":2,"score":0.41753146052360535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3484937846660614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255253732204437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09689769148826599},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1568234.1568251","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1568234.1568251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4419955071","display_name":null,"funder_award_id":"EP/D057086","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1486179036","https://openalex.org/W1502608935","https://openalex.org/W1547461197","https://openalex.org/W1562316073","https://openalex.org/W1574648717","https://openalex.org/W1590075623","https://openalex.org/W1766412966","https://openalex.org/W1964731129","https://openalex.org/W1968817294","https://openalex.org/W1975347328","https://openalex.org/W2001496424","https://openalex.org/W2004455776","https://openalex.org/W2005207065","https://openalex.org/W2010871736","https://openalex.org/W2017102965","https://openalex.org/W2037933327","https://openalex.org/W2060417289","https://openalex.org/W2060980277","https://openalex.org/W2066636486","https://openalex.org/W2072840758","https://openalex.org/W2087183379","https://openalex.org/W2107903248","https://openalex.org/W2113343982","https://openalex.org/W2117831564","https://openalex.org/W2128600649","https://openalex.org/W2133299088","https://openalex.org/W2136487460","https://openalex.org/W2148847267","https://openalex.org/W2151148646","https://openalex.org/W2157110051","https://openalex.org/W2161984370","https://openalex.org/W2164456230","https://openalex.org/W2902533769","https://openalex.org/W4285719527","https://openalex.org/W4387589449"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W2011339062","https://openalex.org/W2751243624","https://openalex.org/W3123950995","https://openalex.org/W1574707610","https://openalex.org/W1607060163","https://openalex.org/W2940450677","https://openalex.org/W4254194148","https://openalex.org/W2142052769"],"abstract_inverted_index":{"Combating":[0],"identity":[1,9,22],"fraud":[2],"is":[3,105],"prominent":[4],"and":[5,34,61,81,107,120,127],"urgent":[6],"since":[7],"false":[8],"has":[10],"become":[11],"the":[12,44,89,110,121],"common":[13],"denominator":[14],"of":[15,66,84,91,117],"all":[16],"serious":[17],"crime.":[18],"Among":[19],"many":[20],"identified":[21],"attributes,":[23],"personal":[24],"names":[25,86],"are":[26,49],"commonly":[27],"falsified":[28],"or":[29],"aliased":[30],"by":[31],"most":[32],"criminals":[33],"terrorists.":[35],"Typical":[36],"approaches":[37],"to":[38,51,57,87],"such":[39],"name":[40],"disambiguation":[41],"rely":[42],"on":[43],"text-based":[45,128],"similarity":[46],"measures,":[47],"which":[48],"efficient":[50],"some":[52],"extent,":[53],"but":[54],"severely":[55],"fail":[56],"handle":[58],"highly":[59],"deceptive":[60],"unknown":[62],"identities.":[63],"In":[64,94],"light":[65],"aforementioned":[67],"shortcoming,":[68],"this":[69,118],"paper":[70],"presents":[71],"an":[72,140],"intelligent":[73],"hybrid":[74,112,122],"approach":[75],"that":[76,100],"proficiently":[77],"combines":[78],"both":[79],"content-based":[80],"link-based":[82,98,126],"measures":[83],"examined":[85],"refine":[88],"justification":[90],"their":[92,136],"similarity.":[93],"particular,":[95],"a":[96,131],"new":[97],"method":[99],"exploits":[101],"multiple":[102],"link":[103],"properties":[104],"introduced":[106],"deployed":[108],"within":[109],"proposed":[111],"mechanism.":[113],"The":[114],"experimental":[115],"evaluation":[116],"measure":[119],"model":[123],"against":[124],"other":[125],"techniques,":[129],"over":[130],"terrorist-related":[132],"dataset,":[133],"significantly":[134],"indicates":[135],"great":[137],"potentials":[138],"towards":[139],"effective":[141],"verification":[142],"system.":[143]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
