{"id":"https://openalex.org/W4220770436","doi":"https://doi.org/10.1186/s13638-022-02111-9","title":"Application of machine learning in intelligent encryption for digital information of real-time image text under big data","display_name":"Application of machine learning in intelligent encryption for digital information of real-time image text under big data","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W4220770436","doi":"https://doi.org/10.1186/s13638-022-02111-9"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-022-02111-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02111-9","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-022-02111-9","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-022-02111-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100322342","display_name":"Liang Liu","orcid":"https://orcid.org/0000-0001-7910-810X"},"institutions":[{"id":"https://openalex.org/I4210160794","display_name":"Baotou Medical College","ror":"https://ror.org/04t44qh67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160794"]},{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Liu","raw_affiliation_strings":["Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, 014040, China"],"affiliations":[{"raw_affiliation_string":"Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, 014040, China","institution_ids":["https://openalex.org/I31637741","https://openalex.org/I4210160794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064481407","display_name":"Melody Gao","orcid":"https://orcid.org/0000-0003-2902-7517"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melody Gao","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419847","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-1024-5741"},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["School of Electrical Information, Changchun Guanghua University, Changchun, 130033, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Information, Changchun Guanghua University, Changchun, 130033, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394392","display_name":"Yu-Xiang Wang","orcid":"https://orcid.org/0000-0002-6403-212X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxiang Wang","raw_affiliation_strings":["Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA"],"affiliations":[{"raw_affiliation_string":"Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100419847"],"corresponding_institution_ids":["https://openalex.org/I49232843"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":2.1395,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88522336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9957000017166138,"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":0.9957000017166138,"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/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.9437999725341797,"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":0.9063000082969666,"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":0.8578208684921265},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.8210062980651855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.545609176158905},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5115585923194885},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4499892592430115},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4394160807132721},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3914582133293152},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3781047463417053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3370000123977661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33597248792648315},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1440889835357666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8578208684921265},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.8210062980651855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.545609176158905},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5115585923194885},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4499892592430115},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4394160807132721},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3914582133293152},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3781047463417053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3370000123977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33597248792648315},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1440889835357666}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13638-022-02111-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02111-9","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-022-02111-9","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8f563d1f124e49b18f3a76897c620821","is_oa":true,"landing_page_url":"https://doaj.org/article/8f563d1f124e49b18f3a76897c620821","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":"EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-16 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-022-02111-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02111-9","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-022-02111-9","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220770436.pdf","grobid_xml":"https://content.openalex.org/works/W4220770436.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2782103398","https://openalex.org/W2794004503","https://openalex.org/W2794632346","https://openalex.org/W2892797978","https://openalex.org/W2897202622","https://openalex.org/W2913608349","https://openalex.org/W2928842143","https://openalex.org/W2944731310","https://openalex.org/W2957457698","https://openalex.org/W2966622305","https://openalex.org/W2970336808","https://openalex.org/W2984693664","https://openalex.org/W2995164854","https://openalex.org/W2996572944","https://openalex.org/W2997484060","https://openalex.org/W2997754028","https://openalex.org/W3005441623","https://openalex.org/W3010081596","https://openalex.org/W3011768388","https://openalex.org/W3013981106","https://openalex.org/W3015896431","https://openalex.org/W3029963245","https://openalex.org/W3038946826","https://openalex.org/W3040617750","https://openalex.org/W3044905940","https://openalex.org/W3046108963","https://openalex.org/W3048157786","https://openalex.org/W3093577951","https://openalex.org/W3093791164","https://openalex.org/W3118737018","https://openalex.org/W3123057515","https://openalex.org/W3130714454","https://openalex.org/W3138986594","https://openalex.org/W3161457301"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2100090372","https://openalex.org/W4361205702","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2376048186"],"abstract_inverted_index":{"Abstract":[0],"In":[1,111,181],"the":[2,7,10,28,36,46,64,77,81,85,87,93,124,137,147,157,182,189,199,205,210,213,225,228,241,250,259,263,273,282],"context":[3],"of":[4,9,13,32,38,42,67,84,139,150,153,171,185,192,198,212,215,227,261,276],"big":[5],"data,":[6],"exploration":[8],"application":[11],"effect":[12,79],"machine":[14],"learning":[15],"in":[16,178,246,281],"intelligent":[17,158],"encryption":[18,118,159],"for":[19,271],"real-time":[20,43,68,82,115,277],"image":[21,44,69,88,116,154,186,278],"text":[22,89,117,155,187,279],"digital":[23,39,65],"information":[24,30,40,66,190],"aims":[25],"to":[26,59,62,72,135,204],"improve":[27],"privacy":[29],"security":[31,78,183,245,256,274],"people.":[33],"Aiming":[34],"at":[35,165,195],"problem":[37],"leakage":[41],"text,":[45],"convolutional":[47],"neural":[48,173],"network":[49,174],"is":[50,90,120,133,164,202,219,233],"introduced":[51],"and":[52,80,104,127,224],"improved":[53],"by":[54,92,97,122,156,176],"adding":[55],"a":[56,98,105,114,130],"preprocessing":[57],"module":[58],"form":[60],"AlexNet,":[61],"encrypt":[63],"text.":[70],"Besides,":[71],"take":[73],"into":[74],"account":[75],"both":[76],"performance":[83,138,275],"system,":[86],"encrypted":[91],"chaotic":[94,100,107,125],"sequence":[95],"generated":[96],"one-dimensional":[99],"system":[101,108],"called":[102],"Logistic-Sine":[103],"multi-dimensional":[106],"named":[109],"Lorenz.":[110],"this":[112,140],"way,":[113],"model":[119,160,201,242,252],"constructed":[121,251],"combining":[123],"function":[126],"AlexNet.":[128],"Finally,":[129],"simulation":[131],"experiment":[132],"performed":[134],"analyze":[136],"model.":[141],"The":[142],"comparative":[143],"analysis":[144,184],"indicates":[145],"that":[146,170,240],"recognition":[148,264],"accuracy":[149],"feature":[151],"extraction":[152],"reaches":[161],"94.37%,":[162],"which":[163,266],"least":[166],"3.05%":[167],"higher":[168],"than":[169,222,236],"other":[172],"models":[175],"scholars":[177],"related":[179],"fields.":[180],"encryption,":[188],"entropy":[191],"pixel":[193],"values":[194],"(0,":[196],"0)":[197],"proposed":[200],"close":[203],"ideal":[206],"value":[207,211,226],"8.":[208],"Meanwhile,":[209],"number":[214],"pixels":[216],"change":[217],"rate":[218],"generally":[220,234],"more":[221,235],"99.50%,":[223],"unified":[229],"average":[230],"changing":[231],"intensity":[232],"33.50%.":[237],"This":[238],"demonstrates":[239],"has":[243],"good":[244,255],"resisting":[247],"attacks.":[248],"Therefore,":[249],"can":[253,267],"provide":[254,268],"guarantee":[257],"under":[258],"premise":[260],"ensuring":[262],"accuracy,":[265],"experimental":[269],"basis":[270],"improving":[272],"data":[280],"future.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
