{"id":"https://openalex.org/W2969001071","doi":"https://doi.org/10.1007/978-3-030-26951-7_6","title":"Improving Attacks on Round-Reduced Speck32/64 Using Deep Learning","display_name":"Improving Attacks on Round-Reduced Speck32/64 Using Deep Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969001071","doi":"https://doi.org/10.1007/978-3-030-26951-7_6","mag":"2969001071"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-26951-7_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-26951-7_6","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":"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/A5021703405","display_name":"Aron Gohr","orcid":null},"institutions":[{"id":"https://openalex.org/I1317578790","display_name":"Federal Office for Information Security","ror":"https://ror.org/03v7mmm26","country_code":"DE","type":"other","lineage":["https://openalex.org/I1317578790"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Aron Gohr","raw_affiliation_strings":["Bundesamt f\u00fcr Sicherheit in der Informationstechnik (BSI), Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bundesamt f\u00fcr Sicherheit in der Informationstechnik (BSI), Bonn, Germany","institution_ids":["https://openalex.org/I1317578790"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021703405"],"corresponding_institution_ids":["https://openalex.org/I1317578790"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":7.2157,"has_fulltext":false,"cited_by_count":190,"citation_normalized_percentile":{"value":0.97760057,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"150","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","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/T10951","display_name":"Cryptographic Implementations and Security","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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9993000030517578,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.7816864252090454},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5895684361457825},{"id":"https://openalex.org/keywords/ciphertext","display_name":"Ciphertext","score":0.566483736038208},{"id":"https://openalex.org/keywords/cryptanalysis","display_name":"Cryptanalysis","score":0.5297447443008423},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5088158249855042},{"id":"https://openalex.org/keywords/plaintext","display_name":"Plaintext","score":0.45124316215515137},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4398784637451172},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.42871612310409546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42014020681381226},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4122757017612457},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.3917481303215027},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3397354483604431},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.2519177198410034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2331334948539734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16988679766654968},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.12839025259017944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7816864252090454},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5895684361457825},{"id":"https://openalex.org/C93974786","wikidata":"https://www.wikidata.org/wiki/Q1589480","display_name":"Ciphertext","level":3,"score":0.566483736038208},{"id":"https://openalex.org/C181149355","wikidata":"https://www.wikidata.org/wiki/Q897511","display_name":"Cryptanalysis","level":3,"score":0.5297447443008423},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5088158249855042},{"id":"https://openalex.org/C92717368","wikidata":"https://www.wikidata.org/wiki/Q1162538","display_name":"Plaintext","level":3,"score":0.45124316215515137},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4398784637451172},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.42871612310409546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42014020681381226},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4122757017612457},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.3917481303215027},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3397354483604431},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.2519177198410034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2331334948539734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16988679766654968},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.12839025259017944},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-26951-7_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-26951-7_6","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W62005486","https://openalex.org/W275522414","https://openalex.org/W1504341594","https://openalex.org/W1538218606","https://openalex.org/W1564684997","https://openalex.org/W1846045953","https://openalex.org/W1902539741","https://openalex.org/W1937380053","https://openalex.org/W1978695162","https://openalex.org/W2073695330","https://openalex.org/W2087928947","https://openalex.org/W2094690792","https://openalex.org/W2109023872","https://openalex.org/W2119112357","https://openalex.org/W2134264591","https://openalex.org/W2135759164","https://openalex.org/W2186286189","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2468462628","https://openalex.org/W2477751631","https://openalex.org/W2480729267","https://openalex.org/W2525778437","https://openalex.org/W2556867355","https://openalex.org/W2731617351","https://openalex.org/W2766447205","https://openalex.org/W2784107021","https://openalex.org/W2806495072","https://openalex.org/W2902907165","https://openalex.org/W2910049226","https://openalex.org/W2964308564","https://openalex.org/W2981164998","https://openalex.org/W2987932957","https://openalex.org/W4245995288","https://openalex.org/W4289115712","https://openalex.org/W6829887170"],"related_works":["https://openalex.org/W2997530193","https://openalex.org/W4310649982","https://openalex.org/W2942137924","https://openalex.org/W4236344152","https://openalex.org/W4395066784","https://openalex.org/W2011667854","https://openalex.org/W2802117553","https://openalex.org/W1589129854","https://openalex.org/W2939324531","https://openalex.org/W4294104609"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
