{"id":"https://openalex.org/W3007490601","doi":"https://doi.org/10.1109/bigdata47090.2019.9005959","title":"On the Quality of Classification Models for Inferring ABAC Policies from Access Logs","display_name":"On the Quality of Classification Models for Inferring ABAC Policies from Access Logs","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007490601","doi":"https://doi.org/10.1109/bigdata47090.2019.9005959","mag":"3007490601"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5034969250","display_name":"Luca Cappelletti","orcid":"https://orcid.org/0000-0002-1269-2038"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luca Cappelletti","raw_affiliation_strings":["Department of Computer Science, University of Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Milano, Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101898581","display_name":"Stefano Valtolina","orcid":"https://orcid.org/0000-0003-1949-2992"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Valtolina","raw_affiliation_strings":["Department of Computer Science, University of Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Milano, Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071444502","display_name":"Giorgio Valentini","orcid":"https://orcid.org/0000-0002-5694-3919"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giorgio Valentini","raw_affiliation_strings":["Department of Computer Science, University of Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Milano, Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089929382","display_name":"Marco Mesiti","orcid":"https://orcid.org/0000-0001-5701-0080"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Mesiti","raw_affiliation_strings":["Department of Computer Science, University of Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Milano, Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061694501","display_name":"Elisa Bertino","orcid":"https://orcid.org/0000-0002-4029-7051"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elisa Bertino","raw_affiliation_strings":["Department of Computer Science, Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034969250"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.72747863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4000","last_page":"4007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9948999881744385,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9948999881744385,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.994700014591217,"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":0.9901999831199646,"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":0.8633816242218018},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.617098331451416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5634105801582336},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5471481680870056},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5407976508140564},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5218697786331177},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.49366626143455505},{"id":"https://openalex.org/keywords/access-control","display_name":"Access control","score":0.4162619411945343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.400926411151886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35760411620140076},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3208529055118561},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1848350167274475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8633816242218018},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.617098331451416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5634105801582336},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5471481680870056},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5407976508140564},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5218697786331177},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.49366626143455505},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.4162619411945343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.400926411151886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35760411620140076},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3208529055118561},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1848350167274475},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W32535764","https://openalex.org/W38301456","https://openalex.org/W1546338409","https://openalex.org/W1587157779","https://openalex.org/W1618905105","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1975960070","https://openalex.org/W2076063813","https://openalex.org/W2095705004","https://openalex.org/W2104933073","https://openalex.org/W2111111494","https://openalex.org/W2148143831","https://openalex.org/W2163328802","https://openalex.org/W2536885573","https://openalex.org/W2749040653","https://openalex.org/W2770777013","https://openalex.org/W2788403449","https://openalex.org/W2817857516","https://openalex.org/W2911964244","https://openalex.org/W2918876693","https://openalex.org/W2949117887","https://openalex.org/W2962736971","https://openalex.org/W2962744771","https://openalex.org/W2991141347","https://openalex.org/W3027625101","https://openalex.org/W6601578796","https://openalex.org/W6636501900","https://openalex.org/W6638523607","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6675634716","https://openalex.org/W6728418763"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W2490526372","https://openalex.org/W4221142204"],"abstract_inverted_index":{"The":[0,74],"attribute-based":[1],"access":[2,40],"control":[3],"(ABAC)":[4],"model":[5],"has":[6],"been":[7,30],"gaining":[8],"popularity":[9],"in":[10,17,199],"recent":[11],"years":[12],"because":[13],"of":[14,36,47,86,93,152,170,193],"its":[15],"advantages":[16],"granularity,":[18],"flexibility,":[19],"and":[20,60,69,83,98,111,121,125,135,165,177],"usability.":[21],"Few":[22],"approaches":[23,100],"based":[24],"on":[25,128,131,136,149],"association":[26],"rules":[27],"mining":[28],"have":[29,101],"proposed":[31],"for":[32,117],"the":[33,45,81,87,91,145,150,153,157,168,171,191,194,209],"automatic":[34],"generation":[35],"ABAC":[37,76,119,173],"policies":[38,48,120,174,179,196],"from":[39],"logs.":[41],"Their":[42],"aim":[43],"is":[44,144,175,197],"identification":[46],"that":[49,142],"do":[50],"not":[51,57,189],"overfit":[52],"over":[53],"training":[54],"data,":[55],"are":[56,70,159,180],"too":[58],"general":[59],"thus":[61],"does":[62,188],"to":[63,67,163],"disclose":[64],"sensitive":[65],"resources":[66],"everyone,":[68],"interpretable":[71],"by":[72],"humans.":[73],"large":[75],"privilege":[77],"space":[78],"along":[79],"with":[80],"sparsity":[82],"unbalance":[84],"distribution":[85],"available":[88],"logs":[89],"make":[90],"solution":[92],"this":[94,105,186,200],"task":[95],"particularly":[96],"complex":[97],"current":[99],"different":[102,109],"limitations.":[103],"In":[104],"paper":[106],"we":[107,140],"compare":[108],"symbolic":[110,210],"nonsymbolic":[112],"machine":[113],"learning":[114],"(ML)":[115],"techniques":[116,204],"inferring":[118],"discuss":[122],"their":[123],"pros":[124],"cons.":[126],"Based":[127],"experimental":[129],"results":[130,207],"a":[132,137],"toy":[133],"dataset":[134],"real":[138],"dataset,":[139],"argue":[141],"which":[143],"best":[146],"technique":[147],"depends":[148],"characteristics":[151],"considered":[154],"data.":[155],"When":[156],"data":[158],"highly":[160],"separable":[161],"according":[162],"PCA":[164],"t-SNE":[166],"decomposition,":[167],"quality":[169,192],"obtained":[172,195],"higher":[176],"also":[178],"easily":[181],"interpretable.":[182],"By":[183],"contrast,":[184],"when":[185],"property":[187],"hold,":[190],"low;":[198],"case,":[201],"non-symbolic":[202],"ML":[203],"show":[205],"better":[206],"than":[208],"ones.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}