{"id":"https://openalex.org/W2948317368","doi":"https://doi.org/10.3390/e21060577","title":"A New Algorithm for Medical Color Images Encryption Using Chaotic Systems","display_name":"A New Algorithm for Medical Color Images Encryption Using Chaotic Systems","publication_year":2019,"publication_date":"2019-06-10","ids":{"openalex":"https://openalex.org/W2948317368","doi":"https://doi.org/10.3390/e21060577","mag":"2948317368","pmid":"https://pubmed.ncbi.nlm.nih.gov/33267291"},"language":"en","primary_location":{"id":"doi:10.3390/e21060577","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21060577","pdf_url":"https://www.mdpi.com/1099-4300/21/6/577/pdf?version=1560150704","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/21/6/577/pdf?version=1560150704","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078180932","display_name":"Seyed Shahabeddin Moafimadani","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Seyed Shahabeddin Moafimadani","raw_affiliation_strings":["School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773464","display_name":"Yucheng Chen","orcid":"https://orcid.org/0000-0001-7836-3993"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Chen","raw_affiliation_strings":["School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101773403","display_name":"Chunming Tang","orcid":"https://orcid.org/0000-0001-7634-4705"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunming Tang","raw_affiliation_strings":["School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078180932","https://openalex.org/A5101773403"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":3.0696,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.92433752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"6","first_page":"577","last_page":"577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9997000098228455,"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":0.9997000098228455,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9726999998092651,"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/T10588","display_name":"Mathematical Dynamics and Fractals","score":0.953499972820282,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.7133413553237915},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.670147180557251},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6605935096740723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6268607974052429},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5778615474700928},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5521416664123535},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5091084837913513},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.48692381381988525},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4853312075138092},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.4725472629070282},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40571269392967224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3143678307533264}],"concepts":[{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7133413553237915},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.670147180557251},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6605935096740723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6268607974052429},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5778615474700928},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5521416664123535},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5091084837913513},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.48692381381988525},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4853312075138092},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.4725472629070282},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40571269392967224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3143678307533264},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e21060577","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21060577","pdf_url":"https://www.mdpi.com/1099-4300/21/6/577/pdf?version=1560150704","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33267291","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33267291","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:8cf1a68972214b8cbc417320584e15c1","is_oa":true,"landing_page_url":"https://doaj.org/article/8cf1a68972214b8cbc417320584e15c1","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":"Entropy, Vol 21, Iss 6, p 577 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/21/6/577/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e21060577","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7515066","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7515066","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e21060577","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21060577","pdf_url":"https://www.mdpi.com/1099-4300/21/6/577/pdf?version=1560150704","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2363139363","display_name":"\u57fa\u4e8e\u79d8\u5bc6\u5171\u4eab\u65b0\u6784\u9020\u7684\u5b89\u5168\u591a\u65b9\u8ba1\u7b97\u534f\u8bae\u7684\u7814\u7a76\u53ca\u5e94\u7528","funder_award_id":"61772147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948317368.pdf","grobid_xml":"https://content.openalex.org/works/W2948317368.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1168507274","https://openalex.org/W1978801065","https://openalex.org/W1987721618","https://openalex.org/W1990774234","https://openalex.org/W2004451819","https://openalex.org/W2090472071","https://openalex.org/W2140288523","https://openalex.org/W2408169318","https://openalex.org/W2473095842","https://openalex.org/W2502416868","https://openalex.org/W2529607158","https://openalex.org/W2547085574","https://openalex.org/W2602396255","https://openalex.org/W2743436145","https://openalex.org/W2754341655","https://openalex.org/W2760967785","https://openalex.org/W2765597978","https://openalex.org/W2782923273","https://openalex.org/W2789077402","https://openalex.org/W2790905840","https://openalex.org/W2803528367","https://openalex.org/W2803633784","https://openalex.org/W2885703599","https://openalex.org/W2889887095","https://openalex.org/W2901925206","https://openalex.org/W2903241858","https://openalex.org/W2905751254","https://openalex.org/W2916589962"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W2100090372","https://openalex.org/W4361205702","https://openalex.org/W2385965183","https://openalex.org/W4210328553","https://openalex.org/W2013342653","https://openalex.org/W2376048186"],"abstract_inverted_index":{"In":[0,137],"this":[1,120,132],"paper,":[2],"we":[3],"present":[4],"a":[5,76],"new":[6],"algorithm":[7,20,37,47,87,118,152],"based":[8],"on":[9,119],"chaotic":[10],"systems":[11],"to":[12,53,97],"protect":[13],"medical":[14],"images":[15,71,94,123,167],"against":[16,155],"attacks.":[17,159],"The":[18],"proposed":[19,127,151],"has":[21],"two":[22],"main":[23],"parts:":[24],"A":[25],"high-speed":[26],"permutation":[27],"process":[28],"and":[29,50,106,144,170,192,202],"adaptive":[30],"diffusion.":[31],"After":[32],"the":[33,36,39,46,56,59,61,81,86,99,114,117,126,139,150,166,176,180,183,185,193,203],"implementation":[34,115],"of":[35,58,92,116,122,135,158,173,187],"in":[38,80],"MATLAB":[40],"software,":[41],"it":[42,161],"is":[43,48,64,88,95,129,205],"observed":[44],"that":[45,70,85,125,149,165],"effective":[49],"appropriate.":[51],"Also,":[52],"quantitatively":[54],"evaluate":[55],"uniformity":[57],"histogram,":[60],"chi-square":[62],"test":[63,98],"done.":[65],"Key":[66],"sensitivity":[67],"analysis":[68,147],"demonstrates":[69],"cannot":[72],"be":[73,163],"decrypted":[74],"whenever":[75],"small":[77],"change":[78,189,196],"happens":[79],"key,":[82],"which":[83],"indicates":[84],"suitable.":[89],"Clearly,":[90],"part":[91],"special":[93],"selected":[96,100],"plain-text,":[101],"like":[102],"an":[103,107],"all-white":[104],"image":[105],"all-black":[108],"image.":[109],"Entropy":[110],"results":[111,141],"obtained":[112,140],"from":[113,142],"type":[121,134],"show":[124,148],"method":[128,204],"suitable":[130,200],"for":[131],"particular":[133],"images.":[136],"addition,":[138],"noise":[143],"occlusion":[145],"attacks":[146],"can":[153,162],"withstand":[154],"these":[156],"types":[157],"Moreover,":[160],"seen":[164],"after":[168],"encryption":[169],"decryption":[171],"are":[172],"good":[174],"quality;":[175],"measures":[177],"such":[178],"as":[179],"correlation":[181],"coefficients,":[182],"entropy,":[184],"number":[186],"pixel":[188],"rate":[190],"(NPCR),":[191],"uniform":[194],"average":[195],"intensity":[197],"(UACI)":[198],"have":[199],"values;":[201],"better":[206],"than":[207],"previous":[208],"methods.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
