{"id":"https://openalex.org/W4407082135","doi":"https://doi.org/10.3390/e27020156","title":"Machine Learning Predictors for Min-Entropy Estimation","display_name":"Machine Learning Predictors for Min-Entropy Estimation","publication_year":2025,"publication_date":"2025-02-02","ids":{"openalex":"https://openalex.org/W4407082135","doi":"https://doi.org/10.3390/e27020156","pmid":"https://pubmed.ncbi.nlm.nih.gov/40003153"},"language":"en","primary_location":{"id":"doi:10.3390/e27020156","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27020156","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/e27020156","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093725954","display_name":"Javier Blanco-Romero","orcid":"https://orcid.org/0009-0004-0635-953X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Javier Blanco-Romero","raw_affiliation_strings":["Department of Telematic Engineering, Universidad Carlos III de Madrid, Legan\u00e9s, 28911 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Telematic Engineering, Universidad Carlos III de Madrid, Legan\u00e9s, 28911 Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024854896","display_name":"Vicente Lorenzo","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]},{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Vicente Lorenzo","raw_affiliation_strings":["Department of Applied Mathematics for ICT, Universidad Polit\u00e9cnica de Madrid, 28031 Madrid, Spain","Department of Telematic Engineering, Universidad Carlos III de Madrid, Legan\u00e9s, 28911 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics for ICT, Universidad Polit\u00e9cnica de Madrid, 28031 Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Department of Telematic Engineering, Universidad Carlos III de Madrid, Legan\u00e9s, 28911 Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034900252","display_name":"Florina Almen\u00e1rez","orcid":"https://orcid.org/0000-0002-5232-2031"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Florina Almenares Mendoza","raw_affiliation_strings":["Department of Telematic Engineering, Universidad Carlos III de Madrid, Legan\u00e9s, 28911 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Telematic Engineering, Universidad Carlos III de Madrid, Legan\u00e9s, 28911 Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042030511","display_name":"Daniel D\u00edaz-S\u00e1nchez","orcid":"https://orcid.org/0000-0002-3323-6453"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel D\u00edaz-S\u00e1nchez","raw_affiliation_strings":["Department of Telematic Engineering, Universidad Carlos III de Madrid, Legan\u00e9s, 28911 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Telematic Engineering, Universidad Carlos III de Madrid, Legan\u00e9s, 28911 Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093725954"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.5568,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87468109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"27","issue":"2","first_page":"156","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":1.0,"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"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9836000204086304,"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9764999747276306,"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":0.6380903124809265},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.629515528678894},{"id":"https://openalex.org/keywords/entropy-estimation","display_name":"Entropy estimation","score":0.6254658102989197},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.5629657506942749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5056257247924805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47420600056648254},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.43270403146743774},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.41931378841400146},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3531292676925659},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30297404527664185},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.27495402097702026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25932615995407104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20765608549118042},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.10213899612426758},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.08993491530418396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380903124809265},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.629515528678894},{"id":"https://openalex.org/C95546049","wikidata":"https://www.wikidata.org/wiki/Q1345207","display_name":"Entropy estimation","level":3,"score":0.6254658102989197},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.5629657506942749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5056257247924805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47420600056648254},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.43270403146743774},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.41931378841400146},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3531292676925659},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30297404527664185},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.27495402097702026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25932615995407104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20765608549118042},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.10213899612426758},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.08993491530418396},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e27020156","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27020156","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:40003153","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40003153","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11854237","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11854237","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11854237/pdf/entropy-27-00156.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:ed635710ceae4723bc1b94e8e4a73abf","is_oa":true,"landing_page_url":"https://doaj.org/article/ed635710ceae4723bc1b94e8e4a73abf","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 27, Iss 2, p 156 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e27020156","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27020156","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2601397997","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G300979063","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3412273058","display_name":null,"funder_award_id":"AEI/ 10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3429648993","display_name":null,"funder_award_id":"PID202","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3463879373","display_name":null,"funder_award_id":"NextGenerationEU/PRTR","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3650733657","display_name":null,"funder_award_id":"NextGenerationEU","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3681454997","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4042783231","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4126322094","display_name":null,"funder_award_id":"01100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5080475149","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5997159177","display_name":null,"funder_award_id":"Next Generation","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6410378779","display_name":null,"funder_award_id":"PID2020-113795RB-C32","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G6541960197","display_name":null,"funder_award_id":"TED2021-130369B-C32","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G661330594","display_name":null,"funder_award_id":"00110","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G6685425346","display_name":null,"funder_award_id":"0011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7149750178","display_name":null,"funder_award_id":"MCIN/AEI/ 10.13039/501100011033","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7266728691","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8260616629","display_name":null,"funder_award_id":"011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8638682022","display_name":null,"funder_award_id":"10.13039/50110001103","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8909017353","display_name":null,"funder_award_id":"MCIN/AEI/ 10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8992176909","display_name":null,"funder_award_id":"2023/00623/001","funder_id":"https://openalex.org/F4320327970","funder_display_name":"Instituto Nacional de Ciberseguridad"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320327970","display_name":"Instituto Nacional de Ciberseguridad","ror":null},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W201521870","https://openalex.org/W206222754","https://openalex.org/W1483547755","https://openalex.org/W1517403092","https://openalex.org/W1673341728","https://openalex.org/W2079145130","https://openalex.org/W2219499198","https://openalex.org/W2272628830","https://openalex.org/W2514754763","https://openalex.org/W2570008916","https://openalex.org/W2734443755","https://openalex.org/W2784781042","https://openalex.org/W2811230938","https://openalex.org/W2898123796","https://openalex.org/W2907263986","https://openalex.org/W2963096510","https://openalex.org/W2970530566","https://openalex.org/W2981678538","https://openalex.org/W2995392166","https://openalex.org/W3006076636","https://openalex.org/W3084195430","https://openalex.org/W3091963153","https://openalex.org/W3100439847","https://openalex.org/W3106041097","https://openalex.org/W3106402851","https://openalex.org/W3160265021","https://openalex.org/W4207038076","https://openalex.org/W4223456999","https://openalex.org/W4238163445","https://openalex.org/W4255486735","https://openalex.org/W4255825300","https://openalex.org/W4289302788","https://openalex.org/W4318586197","https://openalex.org/W6660690085","https://openalex.org/W6754244489","https://openalex.org/W6773542530","https://openalex.org/W6807263361","https://openalex.org/W6817700284"],"related_works":["https://openalex.org/W4318899699","https://openalex.org/W4211010039","https://openalex.org/W2155943534","https://openalex.org/W2077211377","https://openalex.org/W2293264007","https://openalex.org/W2510980038","https://openalex.org/W3210046587","https://openalex.org/W4387596451","https://openalex.org/W4390944229","https://openalex.org/W4386075221"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,10,61,67,75,112,128,132,144],"application":[4],"of":[5,12,77,91,103,130,134,146],"machine":[6,97,147],"learning":[7,98,148],"predictors":[8,121],"for":[9,31,140,155],"estimation":[11,153],"min-entropy":[13,65,138],"in":[14,22,56,122,137,150],"random":[15],"number":[16,76,133],"generators":[17],"(RNGs),":[18],"a":[19,51,89,101],"key":[20],"component":[21],"cryptographic":[23,157],"applications":[24],"where":[25],"accurate":[26],"entropy":[27,152],"assessment":[28,139],"is":[29],"essential":[30],"cybersecurity.":[32],"Our":[33,125],"research":[34],"indicates":[35],"that":[36,43,96],"these":[37],"predictors,":[38],"and":[39,66,105,111,142],"indeed":[40],"any":[41],"predictor":[42],"leverages":[44],"sequence":[45],"correlations,":[46],"primarily":[47],"estimate":[48],"average":[49,64],"min-entropy,":[50,69],"metric":[52],"not":[53],"extensively":[54],"studied":[55],"this":[57],"context.":[58],"We":[59],"explore":[60],"relationship":[62],"between":[63],"traditional":[68,117],"focusing":[70],"on":[71,74],"their":[72],"dependence":[73],"target":[78,135],"bits":[79,136],"being":[80],"predicted.":[81],"Using":[82],"data":[83],"from":[84],"generalized":[85],"binary":[86],"autoregressive":[87],"models,":[88],"subset":[90],"Markov":[92],"processes,":[93],"we":[94],"demonstrate":[95],"models":[99],"(including":[100],"hybrid":[102],"convolutional":[104],"recurrent":[106],"long":[107],"short-term":[108],"memory":[109],"layers":[110],"transformer-based":[113],"GPT-2":[114],"model)":[115],"outperform":[116],"NIST":[118],"SP":[119],"800-90B":[120],"certain":[123],"scenarios.":[124],"findings":[126],"underscore":[127],"importance":[129],"considering":[131],"RNGs":[141],"highlight":[143],"potential":[145],"approaches":[149],"enhancing":[151],"techniques":[154],"improved":[156],"security.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}