{"id":"https://openalex.org/W4206046608","doi":"https://doi.org/10.1145/3501409.3501415","title":"Ensemble Learning-Based Differential Distinguishers for Lightweight Cipher","display_name":"Ensemble Learning-Based Differential Distinguishers for Lightweight Cipher","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4206046608","doi":"https://doi.org/10.1145/3501409.3501415"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501415","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501415","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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/A5100385207","display_name":"Wenyu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Zhang","raw_affiliation_strings":["State Key Laboratory of Cryptography and Science, Beijing, China. Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cryptography and Science, Beijing, China. Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210132990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101104854","display_name":"Yaqun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132990","display_name":"State Key Laboratory of Cryptology","ror":"https://ror.org/02pn5rj08","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqun Zhao","raw_affiliation_strings":["State Key Laboratory of Cryptography and Science, Beijing, China. Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cryptography and Science, Beijing, China. Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210132990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210132990"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9994999766349792,"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":0.9994999766349792,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9977999925613403,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9882000088691711,"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":0.748521625995636},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6109184622764587},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5779078602790833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5389810800552368},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.47161275148391724},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.45806294679641724},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.45678409934043884},{"id":"https://openalex.org/keywords/cipher","display_name":"Cipher","score":0.4421725869178772},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43864336609840393},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.43395334482192993},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43394654989242554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42774498462677},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14822432398796082},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.09000876545906067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748521625995636},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6109184622764587},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5779078602790833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5389810800552368},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.47161275148391724},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.45806294679641724},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.45678409934043884},{"id":"https://openalex.org/C2780221543","wikidata":"https://www.wikidata.org/wiki/Q4681865","display_name":"Cipher","level":3,"score":0.4421725869178772},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43864336609840393},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.43395334482192993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43394654989242554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42774498462677},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14822432398796082},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.09000876545906067},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3501409.3501415","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501415","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":16,"referenced_works":["https://openalex.org/W1564684997","https://openalex.org/W1629301835","https://openalex.org/W1964723977","https://openalex.org/W1978695162","https://openalex.org/W2040239900","https://openalex.org/W2056132907","https://openalex.org/W2087928947","https://openalex.org/W2257979135","https://openalex.org/W2885311373","https://openalex.org/W2969001071","https://openalex.org/W3030696647","https://openalex.org/W3043009053","https://openalex.org/W4212883601","https://openalex.org/W4405309341","https://openalex.org/W6672236705","https://openalex.org/W6753278433"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W1992847598","https://openalex.org/W4296079469","https://openalex.org/W4298012357"],"abstract_inverted_index":{"Combination":[0],"of":[1,12,27,41,117,134],"machine":[2,13,113],"learning":[3,14,143],"and":[4,21,48,97],"cryptoanalysis":[5],"is":[6,126],"a":[7],"novel":[8],"filed.":[9],"The":[10,59,80],"application":[11],"decreases":[15],"the":[16,25,62,70,108,115,121,135,141,148],"manual":[17],"work,":[18,31],"time":[19],"cost":[20],"storage":[22],"space.":[23],"On":[24],"basis":[26],"CRYPTO":[28],"2019":[29],"Gohr's":[30],"we":[32],"proposed":[33],"an":[34],"EL":[35],"(ensemble":[36],"learning)":[37],"based":[38,65,111],"differential":[39,56,66,149],"distinguishers":[40],"AdaBoost,":[42],"Random":[43,63],"Forest,":[44],"Extremely":[45],"Randomized":[46],"Trees":[47],"Gradient":[49,81],"Boosting":[50,82],"Decision":[51,83],"Tree":[52,84],"which":[53],"prove":[54],"stable":[55],"distinguishing":[57,150],"result.":[58],"result":[60],"shows":[61,140],"Forest":[64],"distinguisher":[67,85],"can":[68,86],"distinguish":[69,87],"6-round":[71,88],"Speck":[72,89],"with":[73,90,107],"cipher":[74,92],"106":[75,91],"pairs":[76,93],"in":[77,94,147],"89.01":[78],"seconds.":[79],"175.60":[95],"seconds":[96],"proves":[98],"accuracy":[99],"up":[100],"to":[101],"0.5840.":[102],"After":[103],"our":[104],"analysis,":[105],"compared":[106],"analysis":[109,124],"method":[110,125,144],"on":[112],"learning,":[114],"amount":[116],"data":[118],"needed":[119],"by":[120],"traditional":[122],"difference":[123],"about":[127],"67":[128],"times":[129],"as":[130,132],"much":[131],"that":[133],"new":[136],"method.":[137],"Our":[138],"finding":[139],"ensemble":[142],"performs":[145],"well":[146],"task":[151],"for":[152],"lightweight":[153],"Markov":[154],"cipher.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
