{"id":"https://openalex.org/W2916706358","doi":"https://doi.org/10.1109/glocom.2018.8647746","title":"Collaborative Graph-Based Mechanism for Distributed Big Data Leakage Prevention","display_name":"Collaborative Graph-Based Mechanism for Distributed Big Data Leakage Prevention","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2916706358","doi":"https://doi.org/10.1109/glocom.2018.8647746","mag":"2916706358"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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/A5036352356","display_name":"Yunlong Lu","orcid":"https://orcid.org/0000-0001-9552-5130"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunlong Lu","raw_affiliation_strings":["Institute of Network Technology, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Institute of Network Technology, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078113299","display_name":"Xiaohong Huang","orcid":"https://orcid.org/0000-0002-7275-2274"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Huang","raw_affiliation_strings":["Institute of Network Technology, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Institute of Network Technology, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439910","display_name":"Dandan Li","orcid":"https://orcid.org/0000-0003-2779-240X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Li","raw_affiliation_strings":["Institute of Network Technology, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Institute of Network Technology, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456327","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-8561-5092"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Department of Informatics, University of Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036352356"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.1072,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81364838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9962000250816345,"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":0.7205621004104614},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5889147520065308},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46312767267227173},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.41568922996520996},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4137038290500641},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34736526012420654},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2614765763282776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21630513668060303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205621004104614},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5889147520065308},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46312767267227173},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41568922996520996},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4137038290500641},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34736526012420654},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2614765763282776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21630513668060303},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8647746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1682759715","https://openalex.org/W1873763122","https://openalex.org/W1978300045","https://openalex.org/W1985258161","https://openalex.org/W2018916405","https://openalex.org/W2041836242","https://openalex.org/W2082116341","https://openalex.org/W2096474000","https://openalex.org/W2108119513","https://openalex.org/W2142078760","https://openalex.org/W2182726966","https://openalex.org/W2200463568","https://openalex.org/W2271567685","https://openalex.org/W2766587611","https://openalex.org/W2793685318","https://openalex.org/W2810661254","https://openalex.org/W2886175066","https://openalex.org/W4235400066","https://openalex.org/W4238530616","https://openalex.org/W6639246211"],"related_works":["https://openalex.org/W280853923","https://openalex.org/W2998813341","https://openalex.org/W1587227328","https://openalex.org/W2577361510","https://openalex.org/W2160425906","https://openalex.org/W1596201972","https://openalex.org/W1880774266","https://openalex.org/W1485627940","https://openalex.org/W2028061998","https://openalex.org/W2152433827"],"abstract_inverted_index":{"Data":[0],"leakage":[1,17],"is":[2,58],"a":[3,59,71,112],"growing":[4],"insider":[5],"threat":[6],"to":[7,49,69,179],"data":[8,16,27,45,67,78,83,93,105,119,147,161,194,199],"owners.":[9],"Several":[10],"studies":[11],"have":[12],"been":[13,29],"done":[14],"on":[15,167,176],"prevention":[18],"(DLP).":[19],"In":[20,35,107],"the":[21,65,82,90,97,125,135,157,177],"era":[22],"of":[23,85,92,103,146,159],"big":[24,66,77,118],"data,":[25],"massive":[26],"has":[28],"generated":[30],"constantly":[31],"by":[32,163],"various":[33],"institutions.":[34],"many":[36],"applications,":[37],"multiple":[38],"institutions":[39],"may":[40],"be":[41,101],"interested":[42],"in":[43,64,129,152],"sharing":[44],"with":[46,200],"each":[47,86,160],"other":[48],"extract":[50],"more":[51],"value,":[52],"without":[53,80],"leaking":[54],"private":[55],"data.":[56],"It":[57],"new":[60],"challenge":[61],"for":[62,116],"DLP":[63,127],"scenario":[68],"train":[70],"global":[72],"detection":[73,137,183,196],"model":[74,98],"over":[75,197],"distributed":[76,198],"sets":[79],"breaking":[81],"privacy":[84,158],"party.":[87],"Moreover,":[88],"as":[89],"forms":[91],"become":[94],"much":[95],"complicated,":[96],"should":[99],"also":[100],"capable":[102],"tolerating":[104],"transformation.":[106],"this":[108],"paper,":[109],"we":[110],"propose":[111],"Collaborative":[113],"graph-based":[114],"mechanism":[115],"Distributed":[117],"Leakage":[120],"Detection":[121],"(CoDLD).":[122],"CoDLD":[123],"addresses":[124],"collaborative":[126,193],"problem":[128,138],"three":[130],"aspects.":[131],"First,":[132],"it":[133,155,172],"transfers":[134],"text":[136],"into":[139],"graph":[140,165,178],"space.":[141],"The":[142],"local":[143,168],"weighted":[144,169],"graphs":[145],"owners":[148],"are":[149],"iteratively":[150],"constructed":[151],"turn.":[153],"Second,":[154],"protects":[156],"owner":[162],"using":[164],"masking":[166],"graphs.":[170],"Third,":[171],"applies":[173],"partition-based":[174],"method":[175,190],"perform":[180,192],"accurate":[181],"matching":[182],"efficiently.":[184],"Experimental":[185],"results":[186],"show":[187],"that":[188],"our":[189],"can":[191],"leak":[195],"high":[201],"accuracy":[202],"and":[203],"efficiency.":[204]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
