{"id":"https://openalex.org/W4220931512","doi":"https://doi.org/10.1145/3508398.3511497","title":"Toward Deep Learning Based Access Control","display_name":"Toward Deep Learning Based Access Control","publication_year":2022,"publication_date":"2022-04-14","ids":{"openalex":"https://openalex.org/W4220931512","doi":"https://doi.org/10.1145/3508398.3511497"},"language":"en","primary_location":{"id":"doi:10.1145/3508398.3511497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508398.3511497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.15124","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102792217","display_name":"Mohammad Nur Nobi","orcid":"https://orcid.org/0000-0002-2974-552X"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Nur Nobi","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085555416","display_name":"Ram Krishnan","orcid":"https://orcid.org/0000-0002-7402-553X"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ram Krishnan","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068887242","display_name":"Yufei Huang","orcid":"https://orcid.org/0000-0001-6268-5357"},"institutions":[{"id":"https://openalex.org/I4210128526","display_name":"UPMC Hillman Cancer Center","ror":"https://ror.org/03bw34a45","country_code":"US","type":"facility","lineage":["https://openalex.org/I170201317","https://openalex.org/I4210128526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yufei Huang","raw_affiliation_strings":["University of Pittsburgh &amp; UPMC Hillman Cancer Center, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh &amp; UPMC Hillman Cancer Center, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I4210128526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058132404","display_name":"Mehrnoosh Shakarami","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehrnoosh Shakarami","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038692973","display_name":"Ravi Sandhu","orcid":"https://orcid.org/0000-0002-3165-1813"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Sandhu","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102792217"],"corresponding_institution_ids":["https://openalex.org/I45438204"],"apc_list":null,"apc_paid":null,"fwci":8.0037,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97830437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"154"},"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":0.9947999715805054,"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":0.9947999715805054,"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/T10927","display_name":"Access Control and Trust","score":0.9926000237464905,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9717000126838684,"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":0.7934761047363281},{"id":"https://openalex.org/keywords/role-based-access-control","display_name":"Role-based access control","score":0.7242958545684814},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.7160316705703735},{"id":"https://openalex.org/keywords/access-control","display_name":"Access control","score":0.6587730050086975},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5697727203369141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.550621747970581},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5147526264190674},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.51225346326828},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.5020318031311035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4566227197647095},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4412224590778351},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3440542221069336},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2711864709854126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934761047363281},{"id":"https://openalex.org/C45567728","wikidata":"https://www.wikidata.org/wiki/Q1702839","display_name":"Role-based access control","level":3,"score":0.7242958545684814},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.7160316705703735},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.6587730050086975},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5697727203369141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.550621747970581},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5147526264190674},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.51225346326828},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.5020318031311035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4566227197647095},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4412224590778351},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3440542221069336},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2711864709854126},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3508398.3511497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508398.3511497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2203.15124","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.15124","pdf_url":"https://arxiv.org/pdf/2203.15124","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.15124","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.15124","pdf_url":"https://arxiv.org/pdf/2203.15124","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4399999976158142,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1037096493","https://openalex.org/W1932198206","https://openalex.org/W1988190983","https://openalex.org/W2018293368","https://openalex.org/W2416058667","https://openalex.org/W2483945477","https://openalex.org/W2531409750","https://openalex.org/W2806152525","https://openalex.org/W2903477438","https://openalex.org/W2921287709","https://openalex.org/W2953320496","https://openalex.org/W2963516603","https://openalex.org/W2988851004","https://openalex.org/W2991141347","https://openalex.org/W2995806576","https://openalex.org/W2997604048","https://openalex.org/W3028407954","https://openalex.org/W3028881048","https://openalex.org/W3104845644","https://openalex.org/W3114308913","https://openalex.org/W3123491145","https://openalex.org/W3131203583","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2372156812","https://openalex.org/W2374393728","https://openalex.org/W2386545329","https://openalex.org/W2382286253","https://openalex.org/W2356011375","https://openalex.org/W1795360416","https://openalex.org/W2392979115","https://openalex.org/W1969771171","https://openalex.org/W819284483","https://openalex.org/W2370002471"],"abstract_inverted_index":{"A":[0],"common":[1],"trait":[2],"of":[3,29,60,141,150,157,174],"current":[4],"access":[5,17,23,45,79,130,142],"control":[6,18,24,46,80,131,143],"approaches":[7],"is":[8,73],"the":[9,27,38,58,83,121,124,139,172,175],"challenging":[10],"need":[11],"to":[12,70,75,110,126,182],"engineer":[13],"abstract":[14],"and":[15,42,67,146,167,185,191],"intuitive":[16],"models.":[19],"This":[20,48,89],"entails":[21],"designing":[22,44],"information":[25],"in":[26,57,82,102,120],"form":[28],"roles":[30],"(RBAC),":[31],"attributes":[32],"(ABAC),":[33],"or":[34],"relationships":[35],"(ReBAC)":[36],"as":[37,106],"case":[39],"may":[40],"be,":[41],"subsequently,":[43],"rules.":[47],"framework":[49],"has":[50,54,123],"its":[51],"benefits":[52],"but":[53],"significant":[55,100],"limitations":[56],"context":[59],"modern":[61],"systems":[62],"that":[63,115,137],"are":[64],"dynamic,":[65],"complex,":[66],"large-scale,":[68],"due":[69],"which":[71],"it":[72],"difficult":[74],"maintain":[76],"an":[77],"accurate":[78],"state":[81],"system":[84],"for":[85],"a":[86,107,134,154,158],"human":[87],"administrator.":[88],"paper":[90],"proposes":[91],"Deep":[92],"Learning":[93],"Based":[94],"Access":[95],"Control":[96],"(DLBAC)":[97],"by":[98,178],"leveraging":[99],"advances":[101],"deep":[103],"learning":[104],"technology":[105],"potential":[108,125],"solution":[109],"this":[111],"problem.":[112],"We":[113,170,187],"envision":[114],"DLBAC":[116,160],"could":[117],"complement":[118],"and,":[119],"long-term,":[122],"even":[127],"replace,":[128],"classical":[129],"models":[132],"with":[133],"neural":[135],"network":[136],"reduces":[138],"burden":[140],"model":[144],"engineering":[145],"updates.":[147],"Without":[148],"loss":[149],"generality,":[151],"we":[152],"conduct":[153],"thorough":[155],"investigation":[156],"candidate":[159],"model,":[161],"called":[162],"DLBAC_alpha,":[163],"using":[164],"both":[165],"real-world":[166],"synthetic":[168],"datasets.":[169],"demonstrate":[171],"feasibility":[173],"proposed":[176],"approach":[177],"addressing":[179],"issues":[180],"related":[181],"accuracy,":[183],"generalization,":[184],"explainability.":[186],"also":[188],"discuss":[189],"challenges":[190],"future":[192],"research":[193],"directions.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
