{"id":"https://openalex.org/W1993077546","doi":"https://doi.org/10.1109/icde.2010.5447910","title":"XColor: Protecting general proximity privacy","display_name":"XColor: Protecting general proximity privacy","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1993077546","doi":"https://doi.org/10.1109/icde.2010.5447910","mag":"1993077546"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2010.5447910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","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/A5100428026","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0003-4927-5833"},"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":"Ting Wang","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, USA","College of Computing - Georgia Institute of Technology, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"College of Computing - Georgia Institute of Technology, USA#TAB#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343991","display_name":"Ling Liu","orcid":"https://orcid.org/0000-0002-4138-3082"},"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":"Ling Liu","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, USA","College of Computing - Georgia Institute of Technology, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"College of Computing - Georgia Institute of Technology, USA#TAB#","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100428026"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.931,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80016613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"960","last_page":"963"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9965000152587891,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9480000138282776,"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/microdata","display_name":"Microdata (statistics)","score":0.8943657875061035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515454292297363},{"id":"https://openalex.org/keywords/countermeasure","display_name":"Countermeasure","score":0.6211357116699219},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5250139832496643},{"id":"https://openalex.org/keywords/satisfiability","display_name":"Satisfiability","score":0.5127261877059937},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4837372601032257},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47236186265945435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33521926403045654},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2839488983154297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14374703168869019},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0972895622253418}],"concepts":[{"id":"https://openalex.org/C2778355071","wikidata":"https://www.wikidata.org/wiki/Q1933849","display_name":"Microdata (statistics)","level":4,"score":0.8943657875061035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515454292297363},{"id":"https://openalex.org/C21593369","wikidata":"https://www.wikidata.org/wiki/Q1032176","display_name":"Countermeasure","level":2,"score":0.6211357116699219},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5250139832496643},{"id":"https://openalex.org/C168773769","wikidata":"https://www.wikidata.org/wiki/Q1350299","display_name":"Satisfiability","level":2,"score":0.5127261877059937},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4837372601032257},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47236186265945435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33521926403045654},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2839488983154297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14374703168869019},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0972895622253418},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2010.5447910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.8538","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.8538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-static.cc.gatech.edu/~lingliu/papers/2010/xcolor-icde10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W623244084","https://openalex.org/W1606251440","https://openalex.org/W2009331946","https://openalex.org/W2011039300","https://openalex.org/W2014504071","https://openalex.org/W2069171221","https://openalex.org/W2116416325","https://openalex.org/W2126269809","https://openalex.org/W2132678785","https://openalex.org/W2134167315","https://openalex.org/W2159024459","https://openalex.org/W2163882872","https://openalex.org/W2166658587","https://openalex.org/W2476096155","https://openalex.org/W4285719527","https://openalex.org/W6610072603","https://openalex.org/W6636171097","https://openalex.org/W6653870062","https://openalex.org/W7017384639"],"related_works":["https://openalex.org/W3124882577","https://openalex.org/W2045945431","https://openalex.org/W3121353175","https://openalex.org/W2035955891","https://openalex.org/W4402137836","https://openalex.org/W3123218450","https://openalex.org/W4298259670","https://openalex.org/W3144851602","https://openalex.org/W141897957","https://openalex.org/W2241782923"],"abstract_inverted_index":{"As":[0],"a":[1,29,33,67,90],"severe":[2],"threat":[3],"in":[4],"anonymized":[5],"data":[6],"publication,":[7],"proximity":[8,60],"breach":[9,15],"is":[10],"gaining":[11],"increasing":[12],"attention.":[13],"Such":[14],"occurs":[16],"when":[17],"an":[18,55],"attacker":[19],"learns":[20],"with":[21,32,95],"high":[22],"confidence":[23],"that":[24],"the":[25,44,72],"sensitive":[26],"information":[27],"of":[28,35,74],"victim":[30],"associates":[31],"set":[34],"semantically":[36],"proximate":[37],"values,":[38],"even":[39],"though":[40],"not":[41],"sure":[42],"about":[43],"exact":[45],"one.":[46],"Recently":[47],"(\u00bf,":[48],"\u00bf)-dissimilarity":[49],"[14]":[50],"has":[51],"been":[52],"proposed":[53],"as":[54],"effective":[56],"countermeasure":[57],"against":[58],"general":[59],"attack.":[61],"In":[62],"this":[63,75],"paper,":[64],"we":[65],"present":[66],"detailed":[68],"analytical":[69],"study":[70],"on":[71,98],"fulfillment":[73],"principle,":[76],"derive":[77],"criteria":[78],"to":[79,89],"efficiently":[80],"test":[81],"its":[82],"satisfiability":[83],"for":[84],"given":[85],"microdata,":[86],"and":[87,102],"point":[88],"novel":[91],"anonymization":[92],"model,":[93],"XCOLOR,":[94],"theoretical":[96],"guarantees":[97],"both":[99],"operation":[100],"efficiency":[101],"utility":[103],"preservation.":[104]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
