{"id":"https://openalex.org/W3108159519","doi":"https://doi.org/10.1145/3372297.3417860","title":"Forensic Analysis in Access Control","display_name":"Forensic Analysis in Access Control","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3108159519","doi":"https://doi.org/10.1145/3372297.3417860","mag":"3108159519"},"language":"en","primary_location":{"id":"doi:10.1145/3372297.3417860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372297.3417860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security","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/A5069741885","display_name":"Nahid Juma","orcid":"https://orcid.org/0000-0001-6562-0137"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nahid Juma","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020085889","display_name":"Xiaowei Huang","orcid":"https://orcid.org/0000-0001-6267-0366"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaowei Huang","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081788400","display_name":"Mahesh Tripunitara","orcid":"https://orcid.org/0000-0002-3615-9393"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahesh Tripunitara","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1533","last_page":"1550"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7855144739151001},{"id":"https://openalex.org/keywords/access-control","display_name":"Access control","score":0.7408446669578552},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6515138149261475},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6135355234146118},{"id":"https://openalex.org/keywords/authorization","display_name":"Authorization","score":0.5257226824760437},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4706498980522156},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44356557726860046},{"id":"https://openalex.org/keywords/security-analysis","display_name":"Security analysis","score":0.43795448541641235},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39549756050109863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7855144739151001},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.7408446669578552},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6515138149261475},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6135355234146118},{"id":"https://openalex.org/C108759981","wikidata":"https://www.wikidata.org/wiki/Q788590","display_name":"Authorization","level":2,"score":0.5257226824760437},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4706498980522156},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44356557726860046},{"id":"https://openalex.org/C38369872","wikidata":"https://www.wikidata.org/wiki/Q7445009","display_name":"Security analysis","level":2,"score":0.43795448541641235},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39549756050109863},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372297.3417860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372297.3417860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W100452635","https://openalex.org/W1550705287","https://openalex.org/W1559498407","https://openalex.org/W1679534293","https://openalex.org/W1967269525","https://openalex.org/W1982129592","https://openalex.org/W1991503858","https://openalex.org/W2026598756","https://openalex.org/W2043144080","https://openalex.org/W2053741629","https://openalex.org/W2061745606","https://openalex.org/W2081276694","https://openalex.org/W2096014157","https://openalex.org/W2096347345","https://openalex.org/W2110076463","https://openalex.org/W2111336271","https://openalex.org/W2111753337","https://openalex.org/W2121251946","https://openalex.org/W2135481006","https://openalex.org/W2137144647","https://openalex.org/W2137842875","https://openalex.org/W2150847526","https://openalex.org/W2160795275","https://openalex.org/W2526494400","https://openalex.org/W2532844970","https://openalex.org/W2614037574","https://openalex.org/W2755094099","https://openalex.org/W2790316935","https://openalex.org/W2889727957","https://openalex.org/W2917388839","https://openalex.org/W2981962609","https://openalex.org/W2986159792","https://openalex.org/W3015650867","https://openalex.org/W4210519732","https://openalex.org/W4211218509","https://openalex.org/W4248223175","https://openalex.org/W4256366291","https://openalex.org/W4298227433"],"related_works":["https://openalex.org/W2123296434","https://openalex.org/W2104547074","https://openalex.org/W2555738791","https://openalex.org/W4298042445","https://openalex.org/W2132693790","https://openalex.org/W2095975812","https://openalex.org/W2367441718","https://openalex.org/W1510136311","https://openalex.org/W2120115519","https://openalex.org/W1990260561"],"abstract_inverted_index":{"We":[0,85,122,155,176],"pose":[1,123],"and":[2,32,37,58,103,134,151,163],"study":[3],"forensic":[4,101,125,161,193],"analysis":[5,126,170],"in":[6,13,39,90,97,119],"the":[7,40,75,120,124,141,157,174,179],"context":[8,89],"of":[9,29,42,111,160,168,173,181],"access":[10,67,91,130,145],"control":[11,47,68,92,131],"systems":[12,69,132],"a":[14,30,43,56,60,108,143,148,152],"manner":[15],"that":[16,70,87,105,167,185],"prior":[17],"work":[18],"has":[19,115],"not.":[20],"Forensics":[21],"seeks":[22],"to":[23,74,78,81,99,166,191],"answer":[24],"questions":[25],"about":[26],"past":[27],"states":[28],"system,":[31],"thereby":[33],"provides":[34],"important":[35,95],"clues":[36],"evidence":[38],"event":[41],"security":[44,62],"incident.":[45],"Access":[46],"deals":[48],"with":[49],"who":[50],"may":[51],"perform":[52],"what":[53],"action":[54],"on":[55],"resource":[57],"is":[59,66,93,107],"critical":[61],"function.":[63],"Our":[64],"focus":[65],"allow":[71],"for":[72,128,137,171],"changes":[73],"authorization":[76],"state":[77],"be":[79,187],"delegated":[80],"potentially":[82],"untrusted":[83],"users.":[84],"argue":[86],"this":[88],"an":[94],"one":[96],"which":[98,114],"consider":[100,177],"analysis,":[102,113,162],"observe":[104],"it":[106,136,165],"natural":[109],"complement":[110],"safety":[112,169],"been":[116],"considered":[117],"extensively":[118],"literature.":[121],"problem":[127],"such":[129],"abstractly,":[133],"instantiate":[135],"three":[138],"schemes":[139],"from":[140],"literature:":[142],"well-known":[144],"matrix":[146],"scheme,":[147,150],"role-based":[149],"discretionary":[153],"scheme.":[154],"identify":[156],"computational":[158],"complexity":[159],"compare":[164],"each":[172],"schemes.":[175],"also":[178],"notion":[180],"logs,":[182],"i.e.,":[183],"data":[184],"can":[186],"collected":[188],"over":[189],"time":[190],"aid":[192],"analysis.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
