{"id":"https://openalex.org/W2772968381","doi":"https://doi.org/10.1186/s40537-017-0104-5","title":"Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization","display_name":"Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2772968381","doi":"https://doi.org/10.1186/s40537-017-0104-5","mag":"2772968381"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-017-0104-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-017-0104-5","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-017-0104-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-017-0104-5","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mohammed Al-Zobbi","orcid":"https://orcid.org/0000-0002-3479-1854"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mohammed Al-Zobbi","raw_affiliation_strings":["School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia","School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3479-1854","affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia","institution_ids":["https://openalex.org/I63525965"]},{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086070621","display_name":"Seyed Shahrestani","orcid":"https://orcid.org/0000-0002-8786-9213"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Seyed Shahrestani","raw_affiliation_strings":["School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia","School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia","institution_ids":["https://openalex.org/I63525965"]},{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108581242","display_name":"Chun Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chun Ruan","raw_affiliation_strings":["School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia","School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia","institution_ids":["https://openalex.org/I63525965"]},{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I63525965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63525965"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.8261,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81474161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"4","issue":"1","first_page":null,"last_page":null},"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":0.9977999925613403,"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/T11614","display_name":"Cloud Data Security Solutions","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8862903714179993},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7854300737380981},{"id":"https://openalex.org/keywords/data-anonymization","display_name":"Data anonymization","score":0.6576611995697021},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6428229808807373},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6273413896560669},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.5220305919647217},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.4887787997722626},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48476213216781616},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4822564721107483},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.42809659242630005},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4222782552242279},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.4163094460964203},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.41168704628944397},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3299839496612549},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20053043961524963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09628665447235107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8862903714179993},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7854300737380981},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.6576611995697021},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6428229808807373},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6273413896560669},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.5220305919647217},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.4887787997722626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48476213216781616},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4822564721107483},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.42809659242630005},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4222782552242279},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.4163094460964203},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.41168704628944397},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3299839496612549},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20053043961524963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09628665447235107},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-017-0104-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-017-0104-5","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-017-0104-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:02b832f265374aa1a36d637eb2e5f447","is_oa":false,"landing_page_url":"https://doaj.org/article/02b832f265374aa1a36d637eb2e5f447","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 4, Iss 1, Pp 1-23 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-017-0104-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-017-0104-5","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-017-0104-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320320968","display_name":"University of Western Sydney","ror":"https://ror.org/03t52dk35"},{"id":"https://openalex.org/F4320330043","display_name":"Western Sydney University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2772968381.pdf","grobid_xml":"https://content.openalex.org/works/W2772968381.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W70041207","https://openalex.org/W119564539","https://openalex.org/W1503506375","https://openalex.org/W1731923103","https://openalex.org/W1977706631","https://openalex.org/W1978138677","https://openalex.org/W1998654583","https://openalex.org/W2009382242","https://openalex.org/W2040263621","https://openalex.org/W2048527348","https://openalex.org/W2080213453","https://openalex.org/W2081416313","https://openalex.org/W2118944554","https://openalex.org/W2140669664","https://openalex.org/W2152834477","https://openalex.org/W2159024459","https://openalex.org/W2162105856","https://openalex.org/W2438467919","https://openalex.org/W2563272732","https://openalex.org/W2588729415","https://openalex.org/W2725340395","https://openalex.org/W2754921780","https://openalex.org/W2886805712","https://openalex.org/W3000507244","https://openalex.org/W3103751783"],"related_works":["https://openalex.org/W2098331493","https://openalex.org/W2053453792","https://openalex.org/W2588729415","https://openalex.org/W2197747611","https://openalex.org/W2165169055","https://openalex.org/W2473598913","https://openalex.org/W2556851161","https://openalex.org/W2491503516","https://openalex.org/W3080460547","https://openalex.org/W2799292411"],"abstract_inverted_index":{"Big":[0],"data":[1,6,19,32,37,55,94,127],"is":[2,13,147],"predominantly":[3],"associated":[4,209],"with":[5,77,118,210],"retrieval,":[7],"storage,":[8],"and":[9,18,74,97,129,144,181],"analytics.":[10],"Data":[11,61],"analytics":[12],"prone":[14],"to":[15,26,38,42,72],"privacy":[16],"violations":[17],"disclosures,":[20],"which":[21,146],"can":[22,59,63,75,164],"be":[23,192],"partly":[24],"attributed":[25],"the":[27,51,79,92,119,131,135,154,167,182,197,201,211],"multi-user":[28],"characteristics":[29],"of":[30,54,66,90,122,153,176,200],"big":[31,93],"environments.":[33],"Adversaries":[34],"may":[35],"link":[36],"external":[39],"resources,":[40],"try":[41],"access":[43,150],"confidential":[44],"data,":[45],"or":[46],"deduce":[47],"private":[48],"information":[49,132,207],"from":[50,134],"large":[52],"number":[53],"pieces":[56],"that":[57,110,163],"they":[58],"obtain.":[60],"anonymization":[62,84,168,185,212],"address":[64],"some":[65],"these":[67],"concerns":[68],"by":[69],"providing":[70],"tools":[71],"mask":[73],"help":[76],"concealing":[78],"vulnerable":[80],"data.":[81,123,137,173],"Currently":[82],"available":[83],"methods,":[85],"however,":[86],"are":[87],"not":[88],"capable":[89],"accommodating":[91],"scalability,":[95],"granularity,":[96],"performance":[98],"in":[99,170],"efficient":[100],"manners.":[101],"In":[102],"this":[103,178],"paper,":[104],"we":[105],"introduce":[106,158],"a":[107,141,159],"novel":[108],"framework":[109],"implements":[111],"SQL-like":[112],"Hadoop":[113],"ecosystems,":[114],"incorporating":[115],"Pig":[116],"Latin":[117],"additional":[120],"splitting":[121,125],"The":[124,174],"reduces":[126],"masking":[128,143],"increases":[130],"gained":[133],"anonymized":[136,172],"Our":[138],"solution":[139],"provides":[140],"fine-grained":[142],"concealment,":[145],"based":[148],"on":[149],"level":[151],"privileges":[152],"user.":[155],"We":[156],"also":[157,191],"simple":[160],"classification":[161,179],"technique":[162,180],"accurately":[165],"measure":[166],"extent":[169],"any":[171],"results":[175,195],"testing":[177],"proposed":[183,202],"sensitivity-based":[184],"method":[186],"using":[187],"different":[188],"samples":[189],"will":[190],"discussed.":[193],"These":[194],"show":[196],"significant":[198],"benefits":[199],"approach,":[203],"particularly":[204],"regarding":[205],"reduced":[206],"loss":[208],"processes.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}