{"id":"https://openalex.org/W2913369986","doi":"https://doi.org/10.1109/bigdata.2018.8622037","title":"An Unsupervised Learning Based Approach for Mining Attribute Based Access Control Policies","display_name":"An Unsupervised Learning Based Approach for Mining Attribute Based Access Control Policies","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913369986","doi":"https://doi.org/10.1109/bigdata.2018.8622037","mag":"2913369986"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5058252010","display_name":"Leila Karimi","orcid":"https://orcid.org/0000-0002-4346-728X"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Leila Karimi","raw_affiliation_strings":["School of Computing and Information, University of Pittsburgh, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information, University of Pittsburgh, Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042767930","display_name":"James Joshi","orcid":"https://orcid.org/0000-0003-4519-9802"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Joshi","raw_affiliation_strings":["School of Computing and Information, University of Pittsburgh, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information, University of Pittsburgh, Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058252010"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":7.9834,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97150816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1427","last_page":"1436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9965999722480774,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9929999709129333,"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":0.8652777075767517},{"id":"https://openalex.org/keywords/access-control","display_name":"Access control","score":0.7373968362808228},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5755183696746826},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5481959581375122},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5422649383544922},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4642665386199951},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.45078977942466736},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4371020793914795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4363637864589691},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4136473834514618},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34306269884109497},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17126873135566711},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07494586706161499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8652777075767517},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.7373968362808228},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5755183696746826},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5481959581375122},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5422649383544922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4642665386199951},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.45078977942466736},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4371020793914795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4363637864589691},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4136473834514618},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34306269884109497},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17126873135566711},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07494586706161499},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1037096493","https://openalex.org/W1523767002","https://openalex.org/W1968110920","https://openalex.org/W1971784203","https://openalex.org/W1988190983","https://openalex.org/W1991941172","https://openalex.org/W1996881001","https://openalex.org/W1997199359","https://openalex.org/W2007999111","https://openalex.org/W2008138206","https://openalex.org/W2018616316","https://openalex.org/W2043978338","https://openalex.org/W2053741629","https://openalex.org/W2054075152","https://openalex.org/W2093804985","https://openalex.org/W2097171586","https://openalex.org/W2107801860","https://openalex.org/W2111111494","https://openalex.org/W2125830297","https://openalex.org/W2133523155","https://openalex.org/W2135414215","https://openalex.org/W2149230623","https://openalex.org/W2149816156","https://openalex.org/W2161358272","https://openalex.org/W2162022335","https://openalex.org/W2163328802","https://openalex.org/W2166602595","https://openalex.org/W2319660501","https://openalex.org/W2749040653","https://openalex.org/W2962744771","https://openalex.org/W6626892442","https://openalex.org/W6652470279","https://openalex.org/W6674468412","https://openalex.org/W6676435474","https://openalex.org/W6683952262"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W2906246018"],"abstract_inverted_index":{"An":[0],"Attribute-Based":[1],"Access":[2],"Control":[3],"(ABAC)":[4],"model":[5],"provides":[6],"a":[7,37,51,80,86,102,114,135,189],"flexible":[8],"and":[9,16,61,94,140,154],"promising":[10],"approach":[11,125,180],"for":[12,40,104,131],"large,":[13],"dynamic":[14],"systems/applications":[15],"helps":[17],"overcome":[18],"the":[19,27,118,159,162],"limitations":[20],"of":[21,29,54,67,79,88,137,161],"other":[22],"prevalent":[23],"AC":[24,119],"approaches.":[25],"However,":[26],"cost":[28],"migrating":[30],"to":[31,46,50,116,157,193],"an":[32,127],"ABAC":[33,107,142,171],"based":[34],"system":[35,115],"is":[36,92],"significant":[38],"obstacle":[39],"organizations.":[41],"Many":[42],"large":[43],"enterprises/applications":[44],"need":[45],"grant":[47],"access":[48,74,82,111,138],"privileges":[49],"huge":[52],"number":[53],"users":[55],"distributed":[56],"across":[57],"disparate":[58],"computing":[59],"environments":[60],"applications":[62,69],"including":[63],"legacy":[64],"systems.":[65],"Each":[66],"these":[68,146],"may":[70],"have":[71],"its":[72,195],"own":[73],"control":[75,83],"model.":[76],"Manual":[77],"development":[78,121],"single":[81],"policy":[84,90,108,120,143,155,172,192],"through":[85],"set":[87,136],"attribute-based":[89],"rules":[91,109,144],"expensive":[93],"time":[95],"consuming.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100],"present":[101,149],"methodology":[103],"automatically":[105],"learning":[106],"from":[110,145],"logs":[112],"in":[113,134,170],"facilitate":[117],"process.":[122],"The":[123],"proposed":[124,179],"uses":[126],"unsupervised":[128],"learning-based":[129],"technique":[130],"detecting":[132],"patterns":[133],"records":[139],"extracting":[141],"patterns.":[147],"We":[148,176],"two":[150],"algorithms,":[151],"rule":[152],"pruning,":[153],"refinement,":[156],"improve":[158],"quality":[160],"mined":[163],"policy.":[164],"Policy":[165],"refinement":[166],"algorithms":[167],"are":[168],"useful":[169],"maintenance,":[173],"as":[174,186,188],"well.":[175],"evaluate":[177],"our":[178],"on":[181],"three":[182],"different":[183],"sample":[184],"policies":[185],"well":[187],"randomly":[190],"synthesized":[191],"show":[194],"effectiveness.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}