{"id":"https://openalex.org/W4411995808","doi":"https://doi.org/10.1145/3734436.3734438","title":"Policy Mining: Putting LLMs to Work [Keynote Abstract]","display_name":"Policy Mining: Putting LLMs to Work [Keynote Abstract]","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W4411995808","doi":"https://doi.org/10.1145/3734436.3734438"},"language":"en","primary_location":{"id":"doi:10.1145/3734436.3734438","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3734436.3734438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM Symposium on Access Control Models and Technologies","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084845728","display_name":"Vijayalakshmi Atluri","orcid":"https://orcid.org/0000-0003-2068-780X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vijayalakshmi Atluri","raw_affiliation_strings":["MSIS Department, Rutgers University, Newark, New Jersey, USA"],"raw_orcid":"https://orcid.org/0000-0003-2068-780X","affiliations":[{"raw_affiliation_string":"MSIS Department, Rutgers University, Newark, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084845728"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.31839999556541443,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.31839999556541443,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.2847999930381775,"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/T13643","display_name":"Artificial Intelligence in Law","score":0.2667999863624573,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.6704498529434204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5038213133811951},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36501359939575195},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.3384259343147278},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24694332480430603},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.10106652975082397}],"concepts":[{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.6704498529434204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5038213133811951},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36501359939575195},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3384259343147278},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24694332480430603},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.10106652975082397}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3734436.3734438","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3734436.3734438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM Symposium on Access Control Models and Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.47999998927116394,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Policy":[0],"engineering":[1],"pertains":[2],"to":[3,25,30,67,88,108,152,157],"devising":[4],"access":[5],"control":[6],"policies.":[7,72],"This":[8],"can":[9],"be":[10,106,143,149],"performed":[11],"either":[12],"in":[13,93,121],"a":[14,17,57,154],"top-down":[15,53,117],"or":[16],"bottom-up":[18,21,84],"manner.":[19],"The":[20],"approach,":[22],"also":[23],"referred":[24],"as":[26,96],"policy":[27,48],"mining,":[28],"is":[29,126],"(automatically)":[31],"discover":[32],"security":[33,71],"policies":[34,95],"from":[35],"the":[36,52,61,69,83,112,116,137,140,159],"existing":[37,100],"authorizations.":[38],"Several":[39],"researchers":[40],"have":[41],"proposed":[42],"approaches":[43],"for":[44],"RBAC":[45],"and":[46,79,130],"ABAC":[47],"mining.":[49],"In":[50],"contrast,":[51],"approach":[54,74,85,118,156],"relies":[55,98],"on":[56,99],"careful":[58],"analysis":[59],"of":[60,64,139,161],"business":[62,141],"processes":[63,142],"an":[65],"organization":[66],"devise":[68],"appropriate":[70],"Each":[73],"has":[75],"its":[76],"own":[77],"advantages":[78],"disadvantages.":[80],"For":[81],"example,":[82],"lends":[86],"itself":[87],"automation,":[89],"but":[90],"may":[91,103,119,148],"result":[92,120],"erroneous":[94],"it":[97,125,134,147],"authorizations,":[101],"which":[102],"not":[104],"always":[105],"correct":[107],"begin":[109],"with.":[110],"On":[111],"other":[113],"hand,":[114],"although":[115],"more":[122,150],"accurate":[123],"policies,":[124],"often":[127],"manual,":[128],"tedious":[129],"time":[131],"consuming":[132],"since":[133],"requires":[135],"that":[136],"semantics":[138],"well":[144],"understood.":[145],"Sometimes":[146],"pragmatic":[151],"employ":[153],"hybrid":[155],"reap":[158],"benefits":[160],"both.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}