{"id":"https://openalex.org/W4366545019","doi":"https://doi.org/10.1145/3577923.3583635","title":"Tool/Dataset Paper: Realistic ABAC Data Generation using Conditional Tabular GAN","display_name":"Tool/Dataset Paper: Realistic ABAC Data Generation using Conditional Tabular GAN","publication_year":2023,"publication_date":"2023-04-20","ids":{"openalex":"https://openalex.org/W4366545019","doi":"https://doi.org/10.1145/3577923.3583635"},"language":"en","primary_location":{"id":"doi:10.1145/3577923.3583635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577923.3583635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy","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/A5075472384","display_name":"Ritwik Rai","orcid":"https://orcid.org/0000-0002-1939-9635"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ritwik Rai","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036571304","display_name":"Shamik Sural","orcid":"https://orcid.org/0000-0002-4315-7329"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shamik Sural","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075472384"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.6993,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74269845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"273","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9937999844551086,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9886000156402588,"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":0.8590996265411377},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6975407004356384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6144509315490723},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5030698180198669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.369487464427948}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8590996265411377},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6975407004356384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6144509315490723},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5030698180198669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.369487464427948},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577923.3583635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577923.3583635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2125389028","https://openalex.org/W2194775991","https://openalex.org/W2817857516","https://openalex.org/W2962744771","https://openalex.org/W2963684088","https://openalex.org/W3085329122","https://openalex.org/W3196576671","https://openalex.org/W3199209662","https://openalex.org/W3208346397","https://openalex.org/W4220931512","https://openalex.org/W4288296172","https://openalex.org/W7093349750"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4244478748","https://openalex.org/W2086519370"],"abstract_inverted_index":{"Attribute-based":[0],"Access":[1],"Control":[2],"(ABAC)":[3],"is":[4,92,145,172,182],"increasingly":[5],"being":[6],"used":[7,93,173],"in":[8,43,120,174,180],"a":[9,37,48,67,79,114,122,129,170],"wide":[10],"variety":[11],"of":[12,72,98,128,154,163,187],"applications":[13],"that":[14],"include":[15],"cloud":[16],"services,":[17],"IoT,":[18],"smart":[19],"homes,":[20],"healthcare":[21],"and":[22,27],"several":[23],"others.":[24],"Conducting":[25],"systematic":[26],"reproducible":[28],"experiments":[29],"with":[30,66,134],"benchmark":[31],"realistic":[32,96],"datasets,":[33],"however,":[34],"still":[35],"remains":[36],"challenge.":[38],"To":[39],"address":[40],"this":[41,44],"shortcoming,":[42],"paper":[45],"we":[46,76],"introduce":[47],"method":[49],"called":[50],"ConGRASS":[51,109],"(Conditional":[52],"Tabular":[53],"GAN":[54],"for":[55,60,85],"Realistic":[56],"ABAC":[57,63,143],"Simulation":[58],"Studies)":[59],"generating":[61],"large":[62,100],"datasets.":[64],"Starting":[65],"given":[68],"real":[69,131,166],"world":[70],"dataset":[71,132,137,171],"(potentially)":[73],"limited":[74],"size,":[75],"first":[77],"train":[78],"conditional":[80],"tabular":[81],"generative":[82],"adversarial":[83],"network":[84],"learning":[86],"its":[87],"distribution.":[88],"The":[89],"trained":[90],"model":[91,156],"to":[94,105,116,157],"generate":[95],"datasets":[97],"arbitrarily":[99],"sizes":[101],"having":[102],"distribution":[103],"similar":[104],"the":[106,126,135,152,155,160,164,185],"original":[107],"dataset.":[108],"has":[110],"been":[111],"implemented":[112],"as":[113,147],"free":[115],"use":[117],"web-based":[118],"tool":[119],"which":[121],"user":[123],"can":[124],"choose":[125],"name":[127],"listed":[130],"along":[133],"desired":[136],"size.":[138],"A":[139],"CSV":[140],"file":[141],"containing":[142],"data":[144],"generated":[146],"output.":[148],"Extensive":[149],"evaluation":[150],"shows":[151],"ability":[153],"faithfully":[158],"learn":[159],"statistical":[161],"properties":[162],"selected":[165],"data.":[167],"When":[168],"such":[169],"an":[175],"actual":[176],"problem,":[177],"significant":[178],"improvement":[179],"performance":[181],"achieved,":[183],"proving":[184],"utility":[186],"ConGRASS.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
