{"id":"https://openalex.org/W2339613164","doi":"https://doi.org/10.1145/2894760","title":"General Graph Data De-Anonymization","display_name":"General Graph Data De-Anonymization","publication_year":2016,"publication_date":"2016-04-21","ids":{"openalex":"https://openalex.org/W2339613164","doi":"https://doi.org/10.1145/2894760","mag":"2339613164"},"language":"en","primary_location":{"id":"doi:10.1145/2894760","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2894760","pdf_url":null,"source":{"id":"https://openalex.org/S2642811","display_name":"ACM Transactions on Information and System Security","issn_l":"1094-9224","issn":["1094-9224","1557-7406"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information and System Security","raw_type":"journal-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/A5058611515","display_name":"Shouling Ji","orcid":"https://orcid.org/0000-0003-4268-372X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shouling Ji","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414940","display_name":"Weiqing Li","orcid":"https://orcid.org/0000-0002-1929-3654"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiqing Li","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072108555","display_name":"Mudhakar Srivatsa","orcid":"https://orcid.org/0000-0002-5874-3750"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mudhakar Srivatsa","raw_affiliation_strings":["IBM T. J. Watson Research Center, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081879366","display_name":"Jing He","orcid":"https://orcid.org/0000-0001-6488-1052"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Selena He","raw_affiliation_strings":["Kennesaw State University, GA, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033073212","display_name":"Raheem Beyah","orcid":"https://orcid.org/0000-0002-9188-3464"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raheem Beyah","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058611515"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":8.0099,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97378648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"4","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8803245425224304},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6765203475952148},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6254823207855225},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"Data anonymization","score":0.5590037107467651},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.47495436668395996},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4355936646461487},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.433709055185318},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42746812105178833},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.42648112773895264},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.3064214587211609},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2980380952358246},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1671690046787262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15480411052703857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8803245425224304},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6765203475952148},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6254823207855225},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.5590037107467651},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.47495436668395996},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4355936646461487},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.433709055185318},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42746812105178833},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.42648112773895264},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3064214587211609},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2980380952358246},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1671690046787262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15480411052703857},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2894760","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2894760","pdf_url":null,"source":{"id":"https://openalex.org/S2642811","display_name":"ACM Transactions on Information and System Security","issn_l":"1094-9224","issn":["1094-9224","1557-7406"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information and System Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320314707","display_name":"Government of the United Kingdom","ror":"https://ror.org/05wnh3t63"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W178019458","https://openalex.org/W196785039","https://openalex.org/W1544573083","https://openalex.org/W1555215938","https://openalex.org/W1587071109","https://openalex.org/W1741094079","https://openalex.org/W1808476295","https://openalex.org/W1875112053","https://openalex.org/W1971157729","https://openalex.org/W1973556323","https://openalex.org/W1973980096","https://openalex.org/W1989643196","https://openalex.org/W1998091733","https://openalex.org/W2013863451","https://openalex.org/W2022322548","https://openalex.org/W2025844353","https://openalex.org/W2034411740","https://openalex.org/W2056944867","https://openalex.org/W2097684179","https://openalex.org/W2100960788","https://openalex.org/W2104355163","https://openalex.org/W2112615110","https://openalex.org/W2124849257","https://openalex.org/W2133255965","https://openalex.org/W2134784378","https://openalex.org/W2135930857","https://openalex.org/W2150941206","https://openalex.org/W2153204928","https://openalex.org/W2153305401","https://openalex.org/W2155154949","https://openalex.org/W2155461593","https://openalex.org/W2158888459","https://openalex.org/W2159675343","https://openalex.org/W2163263459","https://openalex.org/W2165515835","https://openalex.org/W2175971604","https://openalex.org/W4238452917","https://openalex.org/W4246354968","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1658882345","https://openalex.org/W2098331493","https://openalex.org/W2073216087","https://openalex.org/W2976887292","https://openalex.org/W2113844214","https://openalex.org/W2327077209","https://openalex.org/W1976957358","https://openalex.org/W2577220285","https://openalex.org/W2370714061","https://openalex.org/W2368224950"],"abstract_inverted_index":{"When":[0],"people":[1],"utilize":[2],"social":[3,31,173],"applications":[4],"and":[5,22,30,46,57,81,123,150,169,171,177,191,198],"services,":[6],"their":[7],"privacy":[8],"suffers":[9],"a":[10,19,36,88,96],"potential":[11],"serious":[12],"threat.":[13],"In":[14],"this":[15,92],"article,":[16],"we":[17,34,71,94,127,155],"present":[18,95],"novel,":[20],"robust,":[21],"effective":[23,190],"de-anonymization":[24,62,148,159,186],"attack":[25,160],"to":[26,109,130,193],"mobility":[27,164],"trace":[28],"data":[29,75,104,112,122],"data.":[32],"First,":[33],"design":[35],"Unified":[37],"Similarity":[38],"(US)":[39],"measurement,":[40],"which":[41,101],"takes":[42],"account":[43],"of":[44,50,115],"local":[45],"global":[47],"structural":[48],"characteristics":[49],"data,":[51,56,126],"information":[52],"obtained":[53],"from":[54,60],"auxiliary":[55,125],"knowledge":[58,114],"inherited":[59],"ongoing":[61],"results.":[63],"By":[64,136],"analyzing":[65],"the":[66,82,116,120,124,157,184],"measurement":[67],"on":[68,139,161],"real":[69],"datasets,":[70],"find":[72],"that":[73,183],"some":[74],"can":[76,84],"potentially":[77],"be":[78,85],"de-anonymized":[79,86],"accurately":[80],"other":[83],"in":[87],"coarse":[89],"granularity.":[90],"Utilizing":[91],"property,":[93],"US-based":[97],"De-Anonymization":[98,133],"(DA)":[99],"framework,":[100],"iteratively":[102],"de-anonymizes":[103],"with":[105],"accuracy":[106,149],"guarantee.":[107],"Then,":[108],"de-anonymize":[110],"large-scale":[111],"without":[113],"overlap":[117],"size":[118],"between":[119],"anonymized":[121],"generalize":[128],"DA":[129],"an":[131],"Adaptive":[132],"(ADA)":[134],"framework.":[135],"smartly":[137],"working":[138],"two":[140],"core":[141],"matching":[142],"subgraphs":[143],",":[144],"ADA":[145],"achieves":[146],"high":[147],"reduces":[151],"computational":[152],"overhead.":[153],"Finally,":[154],"examine":[156],"presented":[158,185],"three":[162,172],"well-known":[163],"traces:":[165],"St":[166],"Andrews,":[167],"Infocom06,":[168],"Smallblue,":[170],"datasets:":[174],"ArnetMiner,":[175],"Google+,":[176],"Facebook.":[178],"The":[179,195],"experimental":[180],"results":[181],"demonstrate":[182],"framework":[187],"is":[188],"very":[189],"robust":[192],"noise.":[194],"source":[196],"code":[197],"employed":[199],"datasets":[200],"are":[201],"now":[202],"publicly":[203],"available":[204],"at":[205],"SecGraph":[206],"[2015].":[207]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-19T23:35:23.961156","created_date":"2025-10-10T00:00:00"}