{"id":"https://openalex.org/W2557223905","doi":"https://doi.org/10.1007/978-3-319-49175-2_12","title":"A Practical Fuzzy Extractor for Continuous Features","display_name":"A Practical Fuzzy Extractor for Continuous Features","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2557223905","doi":"https://doi.org/10.1007/978-3-319-49175-2_12","mag":"2557223905"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-49175-2_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-49175-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5023979066","display_name":"Vladimir P. Parente","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Vladimir P. Parente","raw_affiliation_strings":["Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Av. Ant\u00f4nio Carlos 6627, 31270-901, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Av. Ant\u00f4nio Carlos 6627, 31270-901, Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109801373","display_name":"Jeroen van de Graaf","orcid":"https://orcid.org/0000-0001-7048-6585"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jeroen van de Graaf","raw_affiliation_strings":["Computer Science Department, Universidade Federal de Minas Gerais, Av. Ant\u00f4nio Carlos 6627, 31270-010, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidade Federal de Minas Gerais, Av. Ant\u00f4nio Carlos 6627, 31270-010, Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023979066"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3915,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6005571,"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":"241","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9994999766349792,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6838060021400452},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.5035752654075623},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5026891231536865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4696682393550873},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4581834375858307},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.4575904309749603},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44876807928085327},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4461195468902588},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.44053083658218384},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.4397280812263489},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4239647388458252},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3736499547958374},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36657845973968506},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3293871283531189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24686157703399658},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23626402020454407},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.19253048300743103},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1902393102645874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6838060021400452},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.5035752654075623},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5026891231536865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4696682393550873},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4581834375858307},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.4575904309749603},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44876807928085327},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4461195468902588},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44053083658218384},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.4397280812263489},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4239647388458252},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3736499547958374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36657845973968506},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3293871283531189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24686157703399658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23626402020454407},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.19253048300743103},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1902393102645874},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-49175-2_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-49175-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1507523080","https://openalex.org/W1593558380","https://openalex.org/W1599837121","https://openalex.org/W1606443045","https://openalex.org/W1900213973","https://openalex.org/W1916886752","https://openalex.org/W1964990628","https://openalex.org/W1997639859","https://openalex.org/W2020316223","https://openalex.org/W2032551902","https://openalex.org/W2083898857","https://openalex.org/W2112367529","https://openalex.org/W2119334679","https://openalex.org/W2127211243","https://openalex.org/W2128765501","https://openalex.org/W2137750714","https://openalex.org/W2138577627","https://openalex.org/W2144596760","https://openalex.org/W2146813141","https://openalex.org/W2156309524","https://openalex.org/W2160973043","https://openalex.org/W2168945554","https://openalex.org/W2181513051","https://openalex.org/W2987687226","https://openalex.org/W3215037115","https://openalex.org/W4249875616"],"related_works":["https://openalex.org/W2521839693","https://openalex.org/W2969135852","https://openalex.org/W2188948172","https://openalex.org/W38533693","https://openalex.org/W2892069487","https://openalex.org/W2741842698","https://openalex.org/W2887979804","https://openalex.org/W1974392290","https://openalex.org/W3103566292","https://openalex.org/W1607924090"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}