{"id":"https://openalex.org/W2179625294","doi":"https://doi.org/10.1109/pacrim.2015.7334818","title":"Efficient attributes in secure credentials","display_name":"Efficient attributes in secure credentials","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2179625294","doi":"https://doi.org/10.1109/pacrim.2015.7334818","mag":"2179625294"},"language":"en","primary_location":{"id":"doi:10.1109/pacrim.2015.7334818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacrim.2015.7334818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","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/A5010652488","display_name":"Seyed Alireza Pourbakhsh","orcid":"https://orcid.org/0000-0002-5045-9720"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyed Alireza Pourbakhsh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Dakota State University, Fargo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Dakota State University, Fargo","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110197801","display_name":"Raj Katti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raj Katti","raw_affiliation_strings":["Institute of Technology, University of Washington Tacoma, Tacoma, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Technology, University of Washington Tacoma, Tacoma, WA, USA","institution_ids":["https://openalex.org/I4210150356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4452,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77436813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9994999766349792,"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":0.9984999895095825,"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/credential","display_name":"Credential","score":0.8214611411094666},{"id":"https://openalex.org/keywords/chinese-remainder-theorem","display_name":"Chinese remainder theorem","score":0.755304753780365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.716166079044342},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.67870032787323},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.6226778030395508},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.6026712656021118},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5940053462982178},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5159462094306946},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.513216495513916},{"id":"https://openalex.org/keywords/bit-array","display_name":"Bit array","score":0.4856080412864685},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29899805784225464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22417503595352173},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17675399780273438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14192023873329163},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12046951055526733},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.09979572892189026}],"concepts":[{"id":"https://openalex.org/C2777810591","wikidata":"https://www.wikidata.org/wiki/Q16861606","display_name":"Credential","level":2,"score":0.8214611411094666},{"id":"https://openalex.org/C151635116","wikidata":"https://www.wikidata.org/wiki/Q193878","display_name":"Chinese remainder theorem","level":2,"score":0.755304753780365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.716166079044342},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.67870032787323},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.6226778030395508},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6026712656021118},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5940053462982178},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5159462094306946},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.513216495513916},{"id":"https://openalex.org/C150807984","wikidata":"https://www.wikidata.org/wiki/Q1992074","display_name":"Bit array","level":3,"score":0.4856080412864685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29899805784225464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22417503595352173},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17675399780273438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14192023873329163},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12046951055526733},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.09979572892189026},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pacrim.2015.7334818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacrim.2015.7334818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1574149717","https://openalex.org/W1666126665","https://openalex.org/W1851031742","https://openalex.org/W2165210192","https://openalex.org/W3005766641","https://openalex.org/W3122928761","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W1581723585","https://openalex.org/W4378714697","https://openalex.org/W2294330161","https://openalex.org/W2940472653","https://openalex.org/W2253069048","https://openalex.org/W2804553224","https://openalex.org/W140709781","https://openalex.org/W3214340375"],"abstract_inverted_index":{"We":[0,25],"propose":[1],"a":[2],"new":[3,16],"method":[4,17,30],"to":[5,60,92],"efficiently":[6,41],"encode":[7],"attributes":[8,38,54,66],"in":[9],"the":[10,21,47,68,73,88],"Camenisch-Lysyanskaya":[11],"anonymous":[12],"credential":[13],"system.":[14],"The":[15,62],"is":[18],"based":[19,37,84],"on":[20],"Chinese":[22],"remainder":[23],"theorem.":[24],"show":[26,45],"that":[27,46],"with":[28],"this":[29],"all":[31],"attributes,":[32,85],"including":[33],"integer":[34,83],"and":[35,77,82],"string":[36,81],"can":[39],"be":[40,56],"encoded.":[42],"Also,":[43],"we":[44,86],"number":[48],"of":[49],"bits":[50],"needed":[51],"for":[52,64,80],"encoding":[53],"could":[55],"decreased":[57],"by":[58,75],"up":[59],"48%.":[61],"protocols":[63],"finite-set":[65],"have":[67],"same":[69],"complexity":[70,89],"level":[71],"as":[72],"work":[74],"Camenisch":[76],"Gro\u00df,":[78],"but":[79],"decrease":[87],"from":[90],"O(l)":[91],"O(1).":[93]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
