{"id":"https://openalex.org/W2914945329","doi":"https://doi.org/10.1109/access.2019.2893538","title":"2D Logistic-Modulated-Sine-Coupling-Logistic Chaotic Map for Image Encryption","display_name":"2D Logistic-Modulated-Sine-Coupling-Logistic Chaotic Map for Image Encryption","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2914945329","doi":"https://doi.org/10.1109/access.2019.2893538","mag":"2914945329"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2893538","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2893538","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08620223.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/ielx7/6287639/8600701/08620223.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041328137","display_name":"Hegui Zhu","orcid":"https://orcid.org/0000-0002-6501-4097"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hegui Zhu","raw_affiliation_strings":["College of Sciences, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-6501-4097","affiliations":[{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028772518","display_name":"Yiran Zhao","orcid":"https://orcid.org/0000-0001-7047-4146"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Zhao","raw_affiliation_strings":["College of Sciences, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101544443","display_name":"Yujia Song","orcid":"https://orcid.org/0009-0002-5090-9055"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Song","raw_affiliation_strings":["College of Sciences, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":11.4322,"has_fulltext":true,"cited_by_count":218,"citation_normalized_percentile":{"value":0.99032034,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"14081","last_page":"14098"},"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/T10244","display_name":"Chaos control and synchronization","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9556999802589417,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-map","display_name":"Logistic map","score":0.789574384689331},{"id":"https://openalex.org/keywords/sine","display_name":"Sine","score":0.695763349533081},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6805243492126465},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6619173288345337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5914711356163025},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.4872704744338989},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4720759391784668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4136430025100708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3921402096748352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2159002721309662},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1931115686893463},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09125792980194092}],"concepts":[{"id":"https://openalex.org/C205330730","wikidata":"https://www.wikidata.org/wiki/Q587182","display_name":"Logistic map","level":3,"score":0.789574384689331},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.695763349533081},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6805243492126465},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6619173288345337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914711356163025},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.4872704744338989},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4720759391784668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4136430025100708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3921402096748352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2159002721309662},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1931115686893463},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09125792980194092},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2893538","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2893538","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08620223.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:be41bcc9df0646c19925a6c78ae85570","is_oa":true,"landing_page_url":"https://doaj.org/article/be41bcc9df0646c19925a6c78ae85570","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 14081-14098 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2893538","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2893538","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08620223.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":[{"id":"https://openalex.org/G474394021","display_name":null,"funder_award_id":"2017YFF0108800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6465478902","display_name":null,"funder_award_id":"2016M591446","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G677786651","display_name":null,"funder_award_id":"N170504019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8327819727","display_name":null,"funder_award_id":"2017YFF0108800","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2914945329.pdf","grobid_xml":"https://content.openalex.org/works/W2914945329.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W960484378","https://openalex.org/W1486142288","https://openalex.org/W1750292977","https://openalex.org/W1979655375","https://openalex.org/W1988855581","https://openalex.org/W1999195032","https://openalex.org/W2010065947","https://openalex.org/W2013088196","https://openalex.org/W2020976071","https://openalex.org/W2033538826","https://openalex.org/W2056105196","https://openalex.org/W2062086221","https://openalex.org/W2073630396","https://openalex.org/W2085793407","https://openalex.org/W2105145864","https://openalex.org/W2127766487","https://openalex.org/W2136038769","https://openalex.org/W2150382319","https://openalex.org/W2152750559","https://openalex.org/W2239443241","https://openalex.org/W2241882783","https://openalex.org/W2346477291","https://openalex.org/W2411122105","https://openalex.org/W2588353154","https://openalex.org/W2594438651","https://openalex.org/W2613175894","https://openalex.org/W2618287627","https://openalex.org/W2738748671","https://openalex.org/W2742440882","https://openalex.org/W2743732015","https://openalex.org/W2760967785","https://openalex.org/W2767875127","https://openalex.org/W2783935701","https://openalex.org/W2790533449","https://openalex.org/W2794004503","https://openalex.org/W2801893904","https://openalex.org/W2891021314","https://openalex.org/W2891995194","https://openalex.org/W2896409680","https://openalex.org/W2899877560","https://openalex.org/W3099892037","https://openalex.org/W6672034748","https://openalex.org/W6742922722"],"related_works":["https://openalex.org/W2388148802","https://openalex.org/W2903140093","https://openalex.org/W2593952177","https://openalex.org/W1567811277","https://openalex.org/W2376048186","https://openalex.org/W2018914863","https://openalex.org/W2994758972","https://openalex.org/W2538527336","https://openalex.org/W1987248656","https://openalex.org/W2393587766"],"abstract_inverted_index":{"Due":[0],"to":[1,41,104,132,149],"the":[2,38,47,106,114,134,151,154,157],"significant":[3],"properties":[4],"of":[5,49,57,91,156],"unpredictability,":[6],"ergodicity,":[7],"and":[8,45,51,62,93,109,139,147,153],"initial":[9,107],"state":[10],"sensitivity,":[11],"chaotic":[12,32,58,69,78,115,127],"system":[13],"is":[14],"widely":[15],"used":[16],"as":[17],"a":[18,29,99],"useful":[19],"tool":[20],"in":[21,120,137],"image":[22,85],"encryption.":[23],"In":[24,55],"this":[25],"paper,":[26],"we":[27,36,71,81,97,123,142],"propose":[28,82],"2-dimensional":[30],"logistic-modulated-sine-coupling-logistic":[31],"map":[33,40,44,53],"(LSMCL),":[34],"where":[35],"use":[37,124],"logistic":[39],"modulate":[42],"Sine":[43,52],"couple":[46],"result":[48],"modulation":[50],"together.":[54],"terms":[56],"trajectory,":[59],"Lyapunov":[60],"exponent,":[61],"Kolmogorov":[63],"entropy,":[64],"comparing":[65],"with":[66,88,113],"other":[67],"existing":[68],"maps,":[70],"can":[72],"observe":[73],"that":[74],"LSMCL":[75,131],"has":[76],"better":[77],"performance.":[79],"Furthermore,":[80,119],"an":[83],"LSMCL-based":[84],"encryption":[86],"algorithm":[87],"two":[89,125],"rounds":[90],"permutation":[92,111],"diffusion":[94,121],"operation.":[95],"First,":[96],"provide":[98,143],"secret":[100],"key":[101],"generation":[102],"procedure":[103],"generate":[105],"values":[108,136],"do":[110],"operation":[112],"matrix":[116],"by":[117,130],"LSMCL.":[118],"procedure,":[122],"different":[126],"matrices":[128],"generated":[129],"change":[133],"pixel":[135],"row":[138],"column.":[140],"Finally,":[141],"some":[144],"theoretical":[145],"analyses":[146],"simulations":[148],"confirm":[150],"security":[152],"validity":[155],"proposed":[158],"algorithm.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":45},{"year":2022,"cited_by_count":34},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":15}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
