{"id":"https://openalex.org/W1998319478","doi":"https://doi.org/10.1109/istel.2012.6483147","title":"An efficient data enrichment scheme for fraud detection using social network analysis","display_name":"An efficient data enrichment scheme for fraud detection using social network analysis","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W1998319478","doi":"https://doi.org/10.1109/istel.2012.6483147","mag":"1998319478"},"language":"en","primary_location":{"id":"doi:10.1109/istel.2012.6483147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2012.6483147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Symposium on Telecommunications (IST)","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/A5064470286","display_name":"Soheil Jamshidi","orcid":"https://orcid.org/0000-0002-7636-5319"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Soheil Jamshidi","raw_affiliation_strings":["Internet Fraud Risk Assessment and Ubiquitous Detection Laboratory (iFRAUD), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran","Internet Fraud Risk Assessment and Ubiquitous Detection Laboratory (iFraud), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Internet Fraud Risk Assessment and Ubiquitous Detection Laboratory (iFRAUD), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"Internet Fraud Risk Assessment and Ubiquitous Detection Laboratory (iFraud), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036640771","display_name":"Mahmoud Reza Hashemi","orcid":"https://orcid.org/0000-0002-3518-9195"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahmoud Reza Hashemi","raw_affiliation_strings":["Internet Fraud Risk Assessment and Ubiquitous Detection Laboratory (iFRAUD), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran","Internet Fraud Risk Assessment and Ubiquitous Detection Laboratory (iFraud), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Internet Fraud Risk Assessment and Ubiquitous Detection Laboratory (iFRAUD), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"Internet Fraud Risk Assessment and Ubiquitous Detection Laboratory (iFraud), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1082","last_page":"1087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9995999932289124,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9994000196456909,"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":0.7827067375183105},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.7693991661071777},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6992172598838806},{"id":"https://openalex.org/keywords/witness","display_name":"Witness","score":0.6805654168128967},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6514384746551514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.513359010219574},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.42497214674949646},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16930392384529114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827067375183105},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.7693991661071777},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6992172598838806},{"id":"https://openalex.org/C2776900844","wikidata":"https://www.wikidata.org/wiki/Q8028383","display_name":"Witness","level":2,"score":0.6805654168128967},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6514384746551514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.513359010219574},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.42497214674949646},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16930392384529114},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/istel.2012.6483147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2012.6483147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Symposium on Telecommunications (IST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1511079069","https://openalex.org/W1837348938","https://openalex.org/W2034810662","https://openalex.org/W2046484912","https://openalex.org/W2112793372","https://openalex.org/W2163727649","https://openalex.org/W2577568695","https://openalex.org/W2974445820","https://openalex.org/W4244310443","https://openalex.org/W6767894010"],"related_works":["https://openalex.org/W2989589039","https://openalex.org/W3007554386","https://openalex.org/W2780247929","https://openalex.org/W3108131348","https://openalex.org/W4213307675","https://openalex.org/W3005442585","https://openalex.org/W2035952186","https://openalex.org/W2000646855","https://openalex.org/W2136233809","https://openalex.org/W3095070775"],"abstract_inverted_index":{"With":[0],"the":[1,9,67,77,84,94,103,113,122,142,154],"continuous":[2],"fast":[3],"paste":[4],"of":[5,13,44,83,86,97,101,145],"ecommerce":[6],"growth":[7],"and":[8,37,99],"ever":[10],"increasing":[11],"amount":[12,96],"electronic":[14,26,90],"transactions,":[15],"we":[16],"witness":[17],"a":[18,52,87,149],"similar":[19],"if":[20],"not":[21,133],"more":[22,42],"significant":[23],"increase":[24],"in":[25,76],"fraud.":[27],"Consequently,":[28],"fraud":[29,129],"detection":[30,68,138],"systems":[31],"need":[32],"to":[33,46,65,111,127],"update":[34,112],"their":[35],"methods":[36,139],"improve":[38],"them":[39],"by":[40,70],"considering":[41],"sources":[43],"information":[45,72],"stay":[47],"effective.":[48],"In":[49],"this":[50],"paper,":[51],"data":[53,98],"enrichment":[54],"scheme":[55,105,124],"is":[56,74,93,106,125],"proposed":[57,104,123],"which":[58],"concentrates":[59],"on":[60,141],"using":[61,135],"social":[62,114],"network":[63],"analysis":[64],"help":[66],"system":[69,92],"feeding":[71],"that":[73,121,131],"hidden":[75],"relations":[78],"among":[79],"entities.":[80],"Since":[81],"one":[82],"challenges":[85],"real":[88],"life":[89],"transaction":[91],"large":[95],"number":[100],"users,":[102],"presenting":[107],"an":[108],"efficient":[109],"method":[110],"network,":[115],"as":[116],"well.":[117],"Simulation":[118],"results":[119],"indicate":[120],"able":[126],"detect":[128],"scenarios":[130],"are":[132],"detected":[134],"typical":[136],"anomaly":[137],"based":[140],"normal":[143],"behavior":[144],"cardholders.":[146],"Hence,":[147],"providing":[148],"higher":[150],"accuracy,":[151],"while":[152],"minimizing":[153],"updating":[155],"procedure.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}