{"id":"https://openalex.org/W2971840560","doi":"https://doi.org/10.1109/isi.2019.8823249","title":"Targeted Addresses Identification for Bitcoin with Network Representation Learning","display_name":"Targeted Addresses Identification for Bitcoin with Network Representation Learning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2971840560","doi":"https://doi.org/10.1109/isi.2019.8823249","mag":"2971840560"},"language":"en","primary_location":{"id":"doi:10.1109/isi.2019.8823249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2019.8823249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)","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/A5043670878","display_name":"Jiaqi Liang","orcid":"https://orcid.org/0000-0003-4977-4093"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Liang","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004618782","display_name":"Linjing Li","orcid":"https://orcid.org/0000-0002-8737-099X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linjing Li","raw_affiliation_strings":["Shenzhen Artificial Intelligence and Data Science Institute (Longhua), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Artificial Intelligence and Data Science Institute (Longhua), Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045187863","display_name":"Weiyun Chen","orcid":"https://orcid.org/0000-0003-0380-0743"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyun Chen","raw_affiliation_strings":["School of Management, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038521974","display_name":"Daniel Zeng","orcid":"https://orcid.org/0000-0002-9046-222X"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel Zeng","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9986000061035156,"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":0.9986000061035156,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9972000122070312,"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/T11838","display_name":"Crime, Illicit Activities, and Governance","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.7952178716659546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7684589624404907},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7034016251564026},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.661857545375824},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5944411158561707},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5623767375946045},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5419133901596069},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5368025898933411},{"id":"https://openalex.org/keywords/decentralization","display_name":"Decentralization","score":0.5260003805160522},{"id":"https://openalex.org/keywords/money-laundering","display_name":"Money laundering","score":0.47812214493751526},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.44684144854545593},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3343372642993927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3325701057910919},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32592272758483887},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12101027369499207},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08849287033081055}],"concepts":[{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.7952178716659546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684589624404907},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7034016251564026},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.661857545375824},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5944411158561707},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5623767375946045},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5419133901596069},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5368025898933411},{"id":"https://openalex.org/C136810230","wikidata":"https://www.wikidata.org/wiki/Q188961","display_name":"Decentralization","level":2,"score":0.5260003805160522},{"id":"https://openalex.org/C2780005421","wikidata":"https://www.wikidata.org/wiki/Q151900","display_name":"Money laundering","level":2,"score":0.47812214493751526},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.44684144854545593},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3343372642993927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3325701057910919},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32592272758483887},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12101027369499207},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08849287033081055},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi.2019.8823249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2019.8823249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W948575954","https://openalex.org/W1623006543","https://openalex.org/W2024223694","https://openalex.org/W2113341218","https://openalex.org/W2154851992","https://openalex.org/W2791124241","https://openalex.org/W2794181079","https://openalex.org/W2799345028","https://openalex.org/W2806416578","https://openalex.org/W2963532866","https://openalex.org/W3104097132","https://openalex.org/W6624820987","https://openalex.org/W6636749155"],"related_works":["https://openalex.org/W618752296","https://openalex.org/W1694920370","https://openalex.org/W4293087290","https://openalex.org/W1964018042","https://openalex.org/W3111800978","https://openalex.org/W2380561479","https://openalex.org/W2009485007","https://openalex.org/W3112009149","https://openalex.org/W2186336397","https://openalex.org/W2481378325"],"abstract_inverted_index":{"The":[0,37],"anonymity":[1],"and":[2,18,45,70,72,100],"decentralization":[3],"of":[4,90,109],"Bitcoin":[5],"make":[6],"it":[7],"widely":[8],"accepted":[9],"in":[10,50,86],"illegal":[11],"transactions,":[12],"such":[13],"as":[14],"money":[15],"laundering,":[16],"drug":[17],"weapon":[19],"trafficking,":[20],"gambling,":[21,68],"to":[22,53,97],"name":[23],"a":[24,87],"few,":[25],"which":[26,82],"has":[27],"already":[28],"caused":[29],"significant":[30],"security":[31],"risk":[32],"all":[33],"around":[34],"the":[35,107,110],"world.":[36],"obvious":[38],"de-anonymity":[39],"approach":[40],"that":[41],"matches":[42],"transaction":[43],"addresses":[44,63,75],"users":[46],"is":[47],"not":[48],"possible":[49],"practice":[51],"due":[52],"limited":[54],"annotated":[55],"data":[56],"set.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"divide":[62],"into":[64],"four":[65],"types,":[66],"exchange,":[67],"service,":[69],"general,":[71],"propose":[73],"targeted":[74],"identification":[76],"algorithms":[77],"with":[78],"high":[79],"fault":[80],"tolerance":[81],"may":[83],"be":[84],"employed":[85],"wide":[88],"range":[89],"applications.":[91],"We":[92],"use":[93],"network":[94],"representation":[95],"learning":[96],"extract":[98],"features":[99],"train":[101],"imbalanced":[102],"multi-classifiers.":[103],"Experimental":[104],"results":[105],"validated":[106],"effectiveness":[108],"proposed":[111],"method.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}