{"id":"https://openalex.org/W4323519622","doi":"https://doi.org/10.1109/access.2023.3249753","title":"Block Cipher Identification Scheme Based on Hamming Weight Distribution","display_name":"Block Cipher Identification Scheme Based on Hamming Weight Distribution","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323519622","doi":"https://doi.org/10.1109/access.2023.3249753"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3249753","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3249753","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10054379.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10054379.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069037556","display_name":"Lun Zhao","orcid":"https://orcid.org/0000-0002-5210-4974"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lun Zhao","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037570401","display_name":"Yaping Chi","orcid":"https://orcid.org/0009-0007-8548-0398"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Chi","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","Beijing Electronics Science and Technology Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Beijing Electronics Science and Technology Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074135830","display_name":"Zihan Xu","orcid":"https://orcid.org/0009-0001-4435-7699"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Xu","raw_affiliation_strings":["Beijing Electronics Science and Technology Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Electronics Science and Technology Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083283385","display_name":"Ziyan Yue","orcid":"https://orcid.org/0000-0002-9111-9888"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyan Yue","raw_affiliation_strings":["Beijing Electronics Science and Technology Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Electronics Science and Technology Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069037556"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1032,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89027643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"21364","last_page":"21373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9901999831199646,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9901999831199646,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9376999735832214,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9323999881744385,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6643372178077698},{"id":"https://openalex.org/keywords/cryptosystem","display_name":"Cryptosystem","score":0.6551533341407776},{"id":"https://openalex.org/keywords/hamming-weight","display_name":"Hamming weight","score":0.6013453006744385},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.5590086579322815},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.5223351716995239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5207374095916748},{"id":"https://openalex.org/keywords/block-cipher","display_name":"Block cipher","score":0.4833680987358093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.460624635219574},{"id":"https://openalex.org/keywords/cipher","display_name":"Cipher","score":0.4587348997592926},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44620248675346375},{"id":"https://openalex.org/keywords/ciphertext","display_name":"Ciphertext","score":0.43862974643707275},{"id":"https://openalex.org/keywords/weight-distribution","display_name":"Weight distribution","score":0.426783949136734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.374312162399292},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.32193177938461304},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.1742633879184723},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.16737079620361328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6643372178077698},{"id":"https://openalex.org/C6295992","wikidata":"https://www.wikidata.org/wiki/Q976521","display_name":"Cryptosystem","level":3,"score":0.6551533341407776},{"id":"https://openalex.org/C63361517","wikidata":"https://www.wikidata.org/wiki/Q5645805","display_name":"Hamming weight","level":5,"score":0.6013453006744385},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.5590086579322815},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.5223351716995239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5207374095916748},{"id":"https://openalex.org/C106544461","wikidata":"https://www.wikidata.org/wiki/Q543151","display_name":"Block cipher","level":3,"score":0.4833680987358093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.460624635219574},{"id":"https://openalex.org/C2780221543","wikidata":"https://www.wikidata.org/wiki/Q4681865","display_name":"Cipher","level":3,"score":0.4587348997592926},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44620248675346375},{"id":"https://openalex.org/C93974786","wikidata":"https://www.wikidata.org/wiki/Q1589480","display_name":"Ciphertext","level":3,"score":0.43862974643707275},{"id":"https://openalex.org/C25432639","wikidata":"https://www.wikidata.org/wiki/Q3711790","display_name":"Weight distribution","level":2,"score":0.426783949136734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.374312162399292},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.32193177938461304},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.1742633879184723},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.16737079620361328},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3249753","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3249753","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10054379.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a06de4a76483404ead306050bd68b40f","is_oa":true,"landing_page_url":"https://doaj.org/article/a06de4a76483404ead306050bd68b40f","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":"IEEE Access, Vol 11, Pp 21364-21373 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3249753","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3249753","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10054379.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323519622.pdf","grobid_xml":"https://content.openalex.org/works/W4323519622.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1576445103","https://openalex.org/W2094690792","https://openalex.org/W2110241002","https://openalex.org/W2295598076","https://openalex.org/W2538554912","https://openalex.org/W2914991376","https://openalex.org/W3113112958","https://openalex.org/W4289236186","https://openalex.org/W4292444222","https://openalex.org/W4303980252","https://openalex.org/W6634343353","https://openalex.org/W6745609711","https://openalex.org/W6922460377"],"related_works":["https://openalex.org/W2008960744","https://openalex.org/W2105471374","https://openalex.org/W2963553930","https://openalex.org/W2963549154","https://openalex.org/W2158117886","https://openalex.org/W1987803429","https://openalex.org/W1582340598","https://openalex.org/W1519122282","https://openalex.org/W1530654122","https://openalex.org/W2182731056"],"abstract_inverted_index":{"In":[0,64],"order":[1,65],"to":[2,42,60,66,69,93],"solve":[3],"the":[4,11,44,49,70,96,115],"problem":[5],"of":[6,14,72,100,108],"worse":[7],"recognition":[8,24,117],"performance":[9],"under":[10],"multi-classification":[12],"scenarios":[13],"existing":[15],"cryptosystem":[16,23,50],"identification,":[17],"this":[18],"paper":[19],"proposes":[20],"a":[21],"block":[22,111],"scheme":[25],"based":[26,35],"on":[27,36],"Hamming":[28,37],"weight":[29,38],"distribution.":[30],"A":[31],"feature":[32,55],"extraction":[33],"method":[34],"distribution":[39],"is":[40,51,58,91],"designed":[41,92],"extract":[43],"cipher":[45,112],"text":[46],"features,":[47],"and":[48,76,98,114],"further":[52,94],"described.":[53],"XGBoost-RFE":[54],"selection":[56],"algorithm":[57],"proposed":[59],"filter":[61],"invalid":[62],"features.":[63],"better":[67],"adapt":[68],"characteristics":[71],"complex":[73],"ciphertext":[74],"data":[75],"difficult":[77],"fitting":[78],"in":[79],"multi":[80],"classification":[81],"scenarios,":[82],"XGB-LGBM":[83],"ensemble":[84],"learning":[85],"model":[86],"with":[87],"multi-layer":[88],"fusion":[89],"structure":[90],"improve":[95],"accuracy":[97,118],"generalization":[99],"recognition.":[101],"The":[102],"experiment":[103],"carried":[104],"out":[105],"mixed":[106],"identification":[107],"10":[109],"common":[110],"algorithm,":[113],"overall":[116],"reached":[119],"89.65%.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
