Medical image encryption algorithm based on a new five-dimensional multi-band multi-wing chaotic system and QR decomposition
In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition. First, we construct a new 5D multi-band multi-wing chaotic system through feedback control, which has a relatively large Lyapunov exponent. S...
Saved in:
| Published in | Scientific reports Vol. 14; no. 1; pp. 402 - 17 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
03.01.2024
Nature Publishing Group Nature Portfolio |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition. First, we construct a new 5D multi-band multi-wing chaotic system through feedback control, which has a relatively large Lyapunov exponent. Second, we decompose the plaintext image matrix and chaotic sequence into an orthogonal matrix and upper triangular matrix using QR decomposition. We multiply the orthogonal matrix decomposed from the original image by the orthogonal matrix decomposed from the chaotic sequence. In this process, we use the chaotic sequence to control left and right multiplication. Simultaneously, we chaotically rearrange the elements in the upper triangular matrix using the improved Joseph loop and then multiply the two resulting matrices. Finally, we subject the product matrix to bit-level scrambling. From the theoretical analysis and simulation results, we observed that the key space of this method was relatively large, the key sensitivity was relatively strong, it resisted attacks of statistical analysis and gray value analysis well, and it had a good encryption effect for medical images. |
|---|---|
| AbstractList | Abstract In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition. First, we construct a new 5D multi-band multi-wing chaotic system through feedback control, which has a relatively large Lyapunov exponent. Second, we decompose the plaintext image matrix and chaotic sequence into an orthogonal matrix and upper triangular matrix using QR decomposition. We multiply the orthogonal matrix decomposed from the original image by the orthogonal matrix decomposed from the chaotic sequence. In this process, we use the chaotic sequence to control left and right multiplication. Simultaneously, we chaotically rearrange the elements in the upper triangular matrix using the improved Joseph loop and then multiply the two resulting matrices. Finally, we subject the product matrix to bit-level scrambling. From the theoretical analysis and simulation results, we observed that the key space of this method was relatively large, the key sensitivity was relatively strong, it resisted attacks of statistical analysis and gray value analysis well, and it had a good encryption effect for medical images. In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition. First, we construct a new 5D multi-band multi-wing chaotic system through feedback control, which has a relatively large Lyapunov exponent. Second, we decompose the plaintext image matrix and chaotic sequence into an orthogonal matrix and upper triangular matrix using QR decomposition. We multiply the orthogonal matrix decomposed from the original image by the orthogonal matrix decomposed from the chaotic sequence. In this process, we use the chaotic sequence to control left and right multiplication. Simultaneously, we chaotically rearrange the elements in the upper triangular matrix using the improved Joseph loop and then multiply the two resulting matrices. Finally, we subject the product matrix to bit-level scrambling. From the theoretical analysis and simulation results, we observed that the key space of this method was relatively large, the key sensitivity was relatively strong, it resisted attacks of statistical analysis and gray value analysis well, and it had a good encryption effect for medical images. In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition. First, we construct a new 5D multi-band multi-wing chaotic system through feedback control, which has a relatively large Lyapunov exponent. Second, we decompose the plaintext image matrix and chaotic sequence into an orthogonal matrix and upper triangular matrix using QR decomposition. We multiply the orthogonal matrix decomposed from the original image by the orthogonal matrix decomposed from the chaotic sequence. In this process, we use the chaotic sequence to control left and right multiplication. Simultaneously, we chaotically rearrange the elements in the upper triangular matrix using the improved Joseph loop and then multiply the two resulting matrices. Finally, we subject the product matrix to bit-level scrambling. From the theoretical analysis and simulation results, we observed that the key space of this method was relatively large, the key sensitivity was relatively strong, it resisted attacks of statistical analysis and gray value analysis well, and it had a good encryption effect for medical images.In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition. First, we construct a new 5D multi-band multi-wing chaotic system through feedback control, which has a relatively large Lyapunov exponent. Second, we decompose the plaintext image matrix and chaotic sequence into an orthogonal matrix and upper triangular matrix using QR decomposition. We multiply the orthogonal matrix decomposed from the original image by the orthogonal matrix decomposed from the chaotic sequence. In this process, we use the chaotic sequence to control left and right multiplication. Simultaneously, we chaotically rearrange the elements in the upper triangular matrix using the improved Joseph loop and then multiply the two resulting matrices. Finally, we subject the product matrix to bit-level scrambling. From the theoretical analysis and simulation results, we observed that the key space of this method was relatively large, the key sensitivity was relatively strong, it resisted attacks of statistical analysis and gray value analysis well, and it had a good encryption effect for medical images. |
| ArticleNumber | 402 |
| Author | Zhuang, Zhiben Wang, Tao Zhuang, Zeben |
| Author_xml | – sequence: 1 givenname: Zeben surname: Zhuang fullname: Zhuang, Zeben organization: Department of Critical Care Medicine, People’s Hospital of Fengjie – sequence: 2 givenname: Zhiben surname: Zhuang fullname: Zhuang, Zhiben email: zbxzzb185898@163.com organization: School of Mathematics and Computational Science and Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province, Huaihua University – sequence: 3 givenname: Tao surname: Wang fullname: Wang, Tao email: 2000012@hbmzu.edu.cn organization: College of Intelligent Systems Science and Engineering, Hubei Minzu University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38172586$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9Uk1v1DAQjVARLaV_gAOyxIVLwOPEiX1CqOKjUhECwdly7EnWq8Re7GyrlfjxON2ltD3UF1sz771545nnxZEPHoviJdC3QCvxLtXApSgpq0pOmwZK-aQ4YbTmJasYO7rzPi7OUlrTfDiTNchnxXEloGVcNCfFn69ondEjcZMekKA3cbeZXfBEj0OIbl5NpNMJLVlCxOM16d0VltZN6FPGZeq0HWdXdtrbw_Pa-YGYlQ6zMyTt0owTWbLffxCLJkybkNxS40XxtNdjwrPDfVr8-vTx5_mX8vLb54vzD5el4TXMZYe9FTWngK2E1rQADa271qLsBQXLqKUUW2EMSORNz23VW5CaN0IgSq6r0-Jir2uDXqtNzL3GnQraqZtAiIPSMXsdUXWy50zYpjMaa11JUVtr21wNqob1os9a7_dam203oTXo56jHe6L3M96t1BCuFNC2qQWwrPDmoBDD7y2mWU0uGRxH7TFsk2ISKEgGjczQ1w-g67CN-c8XFJUVz7bajHp119Ktl39TzgC2B5gYUorY30KAqmWb1H6bVN4mdbNNaqktHpCMm_UyttyWGx-nVntqynX8gPG_7UdYfwG4WOAF |
| CitedBy_id | crossref_primary_10_1088_1402_4896_ad8e96 crossref_primary_10_1109_ACCESS_2024_3447239 crossref_primary_10_1016_j_compeleceng_2024_109722 crossref_primary_10_1038_s41598_025_90725_6 crossref_primary_10_1016_j_padiff_2025_101076 crossref_primary_10_1016_j_chaos_2024_115070 crossref_primary_10_1038_s41598_024_84186_6 |
| Cites_doi | 10.1007/s11082-022-03646-3 10.1016/j.chaos.2021.111693 10.1109/ACCESS.2019.2906292 10.1016/j.ins.2021.06.032 10.1007/s10489-022-03174-3 10.3390/s21113925 10.1016/j.sigpro.2016.10.003 10.1007/s11042-017-5406-2 10.1007/s11045-018-0622-0 10.1016/j.asoc.2012.01.016 10.1007/s11042-022-12724-3 10.1016/j.image.2016.12.007 10.1016/j.chaos.2022.112781 10.1109/ACCESS.2021.3056037 10.1109/JPHOT.2018.2881166 10.1016/j.chaos.2004.09.035 10.3390/app9040781 10.1109/ACCESS.2021.3063237 10.48550/arXiv.1904.00986 10.3390/e24121827 10.1016/j.patrec.2021.10.033 10.1016/j.optlaseng.2016.10.006 10.3233/JIFS-190112 10.7498/aps.69.1167 10.1088/1757-899X/1080/1/012006 10.3390/e22020243 10.1007/s11042-016-4205-5 10.1142/S0218001416570019 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2024 2024. The Author(s). The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2024 – notice: 2024. The Author(s). – notice: The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION NPM 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
| DOI | 10.1038/s41598-023-50661-9 |
| DatabaseName | Springer Nature OA Free Journals CrossRef PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Korea Proquest Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Medical Database Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central China ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | CrossRef PubMed MEDLINE - Academic Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2045-2322 |
| EndPage | 17 |
| ExternalDocumentID | oai_doaj_org_article_b9f528d6bcae4a3984ddd74b71362f8f PMC10764812 38172586 10_1038_s41598_023_50661_9 |
| Genre | Journal Article |
| GroupedDBID | 0R~ 3V. 4.4 53G 5VS 7X7 88A 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD ABDBF ABUWG ACGFS ACSMW ACUHS ADBBV ADRAZ AENEX AEUYN AFKRA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU DIK DWQXO EBD EBLON EBS ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M0L M1P M2P M48 M7P M~E NAO OK1 PIMPY PQQKQ PROAC PSQYO RNT RNTTT RPM SNYQT UKHRP AASML AAYXX AFPKN CITATION PHGZM PHGZT NPM 7XB 8FK AARCD K9. PJZUB PKEHL PPXIY PQEST PQGLB PQUKI PRINS Q9U 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c541t-befd84501e7917c711604b7de9f801d20d00e78cc19e56f5d3fd19a5688ee95a3 |
| IEDL.DBID | M48 |
| ISSN | 2045-2322 |
| IngestDate | Wed Aug 27 01:33:01 EDT 2025 Thu Aug 21 18:42:34 EDT 2025 Fri Jul 11 01:01:07 EDT 2025 Wed Aug 13 04:11:12 EDT 2025 Thu Apr 03 07:08:01 EDT 2025 Tue Jul 01 00:50:56 EDT 2025 Thu Apr 24 22:57:53 EDT 2025 Fri Feb 21 02:37:55 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | 2024. The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c541t-befd84501e7917c711604b7de9f801d20d00e78cc19e56f5d3fd19a5688ee95a3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://www.proquest.com/docview/2909357137?pq-origsite=%requestingapplication% |
| PMID | 38172586 |
| PQID | 2909357137 |
| PQPubID | 2041939 |
| PageCount | 17 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_b9f528d6bcae4a3984ddd74b71362f8f pubmedcentral_primary_oai_pubmedcentral_nih_gov_10764812 proquest_miscellaneous_2910192169 proquest_journals_2909357137 pubmed_primary_38172586 crossref_primary_10_1038_s41598_023_50661_9 crossref_citationtrail_10_1038_s41598_023_50661_9 springer_journals_10_1038_s41598_023_50661_9 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2024-01-03 |
| PublicationDateYYYYMMDD | 2024-01-03 |
| PublicationDate_xml | – month: 01 year: 2024 text: 2024-01-03 day: 03 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Scientific reports |
| PublicationTitleAbbrev | Sci Rep |
| PublicationTitleAlternate | Sci Rep |
| PublicationYear | 2024 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | Sachin (CR25) 2022; 54 Enayatifar, Abdullah, Isnin (CR27) 2017; 90 Gou, Shao, Yang (CR24) 2015; 32 Liu, Yang, Zhou, Chen (CR34) 2017; 77 CR19 Zheng, Bao (CR11) 2022; 24 Liang, Qin, Zhou (CR14) 2021; 29 Wang (CR32) 2019; 9 Akram, Muhammad, Sofifiane (CR8) 2019; 7 Liu, Liu, Ma (CR31) 2022; 81 Jain, Aji, Krishnan (CR7) 2021; 152 Sun (CR35) 2018; 10 Chai, Gan, Yang, Chen, Liu (CR36) 2017; 52 Enayatifar, Abdullah, Isnin, Altameem, Lee (CR33) 2017; 90 Lai, Yang, Liu (CR6) 2022; 165 Javan, Jafari, Shoeibi (CR13) 2021; 21 Liu, Ma, Li (CR1) 2018; 77 Liu, Wang (CR28) 2012; 12 Reyad, Hamed, Karar (CR21) 2020; 39 Liu (CR9) 2019; 30 Wang, Liu, Jiang (CR12) 2021; 574 CR3 CR5 Vaseghi, Mobayen, Hashemi (CR23) 2021; 9 Peng, Wang, Yuan (CR2) 2014; 63 Beg, Baig, Hameed (CR30) 2022; 81 Cao, Zhou (CR16) 2017; 132 Zhang, Liao, Wang (CR15) 2005; 24 Toker, Sommer, D'Esposito (CR26) 2019 CR22 Liu, Tong, Wang (CR10) 2022; 154 Bi, Yin, Li (CR20) 2020; 22 Sara, Khalid, Taha (CR18) 2021; 9 Ibrahim, Abeer, Mohamed (CR17) 2021; 10 Zheng, Zeng (CR29) 2022; 52 Zhuang, Li, Liu (CR4) 2020; 69 H Liu (50661_CR31) 2022; 81 JM Zheng (50661_CR29) 2022; 52 50661_CR22 JY Liu (50661_CR34) 2017; 77 J Bi (50661_CR20) 2020; 22 S Beg (50661_CR30) 2022; 81 ZY Liang (50661_CR14) 2021; 29 50661_CR19 B Vaseghi (50661_CR23) 2021; 9 LH Zhang (50661_CR15) 2005; 24 PS Sachin (50661_CR25) 2022; 54 ZB Zhuang (50661_CR4) 2020; 69 X Chai (50661_CR36) 2017; 52 R Enayatifar (50661_CR27) 2017; 90 50661_CR3 K Jain (50661_CR7) 2021; 152 50661_CR5 O Reyad (50661_CR21) 2020; 39 S Sun (50661_CR35) 2018; 10 R Enayatifar (50661_CR33) 2017; 90 B Akram (50661_CR8) 2019; 7 A Javan (50661_CR13) 2021; 21 WJ Cao (50661_CR16) 2017; 132 H Liu (50661_CR28) 2012; 12 Q Lai (50661_CR6) 2022; 165 JZ Liu (50661_CR1) 2018; 77 X Liu (50661_CR10) 2022; 154 JM Zheng (50661_CR11) 2022; 24 X Wang (50661_CR32) 2019; 9 X Wang (50661_CR12) 2021; 574 Y Gou (50661_CR24) 2015; 32 D Toker (50661_CR26) 2019 ZP Peng (50661_CR2) 2014; 63 JZ Liu (50661_CR9) 2019; 30 TK Sara (50661_CR18) 2021; 9 Y Ibrahim (50661_CR17) 2021; 10 |
| References_xml | – ident: CR22 – volume: 54 start-page: 1 year: 2022 end-page: 19 ident: CR25 article-title: A novel chaotic Umbrella map and its application to image encryption publication-title: Opt. Quant. Electron. doi: 10.1007/s11082-022-03646-3 – volume: 29 start-page: 1 year: 2021 end-page: 32 ident: CR14 article-title: Medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation publication-title: Plos One. – volume: 154 start-page: 111693 year: 2022 ident: CR10 article-title: A new n-dimensional conservative chaos based on generalized Hamiltonian system and its' applications in image encryption publication-title: Chaos Solitons Fract. doi: 10.1016/j.chaos.2021.111693 – volume: 7 start-page: 36667 year: 2019 end-page: 36681 ident: CR8 article-title: Novel medical image encryption scheme based on chaos and DNA encoding publication-title: IEEE Access. doi: 10.1109/ACCESS.2019.2906292 – volume: 574 start-page: 505 year: 2021 end-page: 527 ident: CR12 article-title: A novel triple-image encryption and hiding algorithm based on chaos, compressive sensing and 3D DCT publication-title: Inf. Sci. doi: 10.1016/j.ins.2021.06.032 – volume: 52 start-page: 15703 year: 2022 end-page: 15717 ident: CR29 article-title: An image encryption algorithm using a dynamic s-box and chaotic maps publication-title: Appl. Intell. doi: 10.1007/s10489-022-03174-3 – volume: 77 start-page: 1 year: 2018 end-page: 22 ident: CR1 article-title: A new simple chaotic system and its application in medical image encryption publication-title: Multimed. Tools Appl. – volume: 21 start-page: 3925 year: 2021 ident: CR13 article-title: Medical images encryption based on adaptive-robust multi-mode synchronization of Chen hyper-chaotic systems publication-title: Sensors. doi: 10.3390/s21113925 – volume: 132 start-page: 96 year: 2017 end-page: 109 ident: CR16 article-title: Medical image encryption using edge maps publication-title: Signal Process. doi: 10.1016/j.sigpro.2016.10.003 – volume: 39 start-page: 1 year: 2020 end-page: 12 ident: CR21 article-title: Hash-enhanced elliptic curve bit-string generator for medical image encryption publication-title: J. Intell. Fuzzy Syst. – volume: 77 start-page: 10217 year: 2017 end-page: 10233 ident: CR34 article-title: A digital image encryption algorithm based on bit-planes and an improved logistic map publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-017-5406-2 – volume: 30 start-page: 1 year: 2019 ident: CR9 article-title: A novel fourth order chaotic system and its algorithm for medical image encryption publication-title: Multidimension. Syst. Signal Process. doi: 10.1007/s11045-018-0622-0 – volume: 12 start-page: 1457 year: 2012 end-page: 1466 ident: CR28 article-title: Image encryption using dna complementary rule and chaotic maps publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2012.01.016 – volume: 81 start-page: 26403 year: 2022 end-page: 26423 ident: CR30 article-title: Thermal image encryption based on laser diode feedback and 2D logistic chaotic map publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-022-12724-3 – volume: 32 start-page: 1 year: 2015 end-page: 7 ident: CR24 article-title: Bit-level image encryption algorithm based on Josephus and Henon chaotic map publication-title: Appl. Res. Comput. – volume: 10 start-page: 244 year: 2021 end-page: 257 ident: CR17 article-title: A robust chaos-based technique for medical image encryption publication-title: IEEE Access. – volume: 52 start-page: 6 year: 2017 end-page: 19 ident: CR36 article-title: An image encryption algorithm based on the memristive hyperchaotic system, cellular automata and DNA sequence operations publication-title: Signal Process. Image Commun. doi: 10.1016/j.image.2016.12.007 – volume: 165 start-page: 1 year: 2022 end-page: 12 ident: CR6 article-title: Design and realization of discrete memristive hyperchaotic map with application in image encryption publication-title: Chaos Solitons Fract. doi: 10.1016/j.chaos.2022.112781 – volume: 22 start-page: 486 year: 2020 end-page: 491 ident: CR20 article-title: Research on medical image encryption method based on improved Krill herb algorithm and chaotic systems publication-title: Int. J. Netw. Secur. – volume: 81 start-page: 12069 year: 2022 ident: CR31 article-title: Constructing dynamic strong S-Box using 3D chaotic map and application to image encryption publication-title: Multimed. Tools Appl. – ident: CR19 – volume: 9 start-page: 25911 year: 2021 end-page: 25925 ident: CR23 article-title: Fast reaching finite time synchronization approach for chaotic systems with application in medical image encryption publication-title: IEEE Access. doi: 10.1109/ACCESS.2021.3056037 – volume: 10 start-page: 1 year: 2018 end-page: 14 ident: CR35 article-title: A novel hyperchaotic image encryption scheme based on DNA encoding, pixel-level scrambling and bit-level scrambling publication-title: IEEE Photon. J. doi: 10.1109/JPHOT.2018.2881166 – volume: 24 start-page: 759 year: 2005 end-page: 765 ident: CR15 article-title: An image encryption approach based on chaotic maps publication-title: Chaos Solitons Fract. doi: 10.1016/j.chaos.2004.09.035 – volume: 9 start-page: 781 year: 2019 ident: CR32 article-title: S-Box based image encryption application using a chaotic system without equilibrium publication-title: Appl. Sci. doi: 10.3390/app9040781 – volume: 9 start-page: 37855 year: 2021 end-page: 37865 ident: CR18 article-title: A new image encryption algorithm for grey and color medical images publication-title: IEEE Access. doi: 10.1109/ACCESS.2021.3063237 – ident: CR3 – year: 2019 ident: CR26 publication-title: The Chaos Decision Tree Algorithm: an automated tool for the experimental study of complex dynamics. doi: 10.48550/arXiv.1904.00986 – volume: 24 start-page: 1827 year: 2022 ident: CR11 article-title: An image encryption algorithm using cascade chaotic map and S-box publication-title: Entropy doi: 10.3390/e24121827 – volume: 69 start-page: 1 year: 2020 end-page: 14 ident: CR4 article-title: Image encryption algorithm based on new five-dimensional multi-ring multi-wing hyperchaotic system publication-title: Acta Phys. Sin. Chin. Ed. – volume: 152 start-page: 356 year: 2021 end-page: 364 ident: CR7 article-title: Medical image encryption scheme using multiple chaotic maps publication-title: Pattern Recogn. Lett. doi: 10.1016/j.patrec.2021.10.033 – volume: 90 start-page: 146 year: 2017 end-page: 154 ident: CR27 article-title: Image encryption using a synchronous permutation diffusion technique publication-title: Opt. Lasers Eng. doi: 10.1016/j.optlaseng.2016.10.006 – ident: CR5 – volume: 63 start-page: 506 year: 2014 ident: CR2 article-title: A novel four-dimensional multi-wing hyper-chaotic attractor and its application in image encryption publication-title: Acta Phys. Sin. Chin. Ed. – volume: 90 start-page: 146 year: 2017 end-page: 154 ident: CR33 article-title: Image encryption using a synchronous permutation-diffusion technique publication-title: Opt. Lasers Eng. doi: 10.1016/j.optlaseng.2016.10.006 – volume: 12 start-page: 1457 year: 2012 ident: 50661_CR28 publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2012.01.016 – volume: 29 start-page: 1 year: 2021 ident: 50661_CR14 publication-title: Plos One. – volume: 81 start-page: 26403 year: 2022 ident: 50661_CR30 publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-022-12724-3 – volume: 63 start-page: 506 year: 2014 ident: 50661_CR2 publication-title: Acta Phys. Sin. Chin. Ed. – volume: 574 start-page: 505 year: 2021 ident: 50661_CR12 publication-title: Inf. Sci. doi: 10.1016/j.ins.2021.06.032 – volume: 39 start-page: 1 year: 2020 ident: 50661_CR21 publication-title: J. Intell. Fuzzy Syst. doi: 10.3233/JIFS-190112 – volume: 77 start-page: 10217 year: 2017 ident: 50661_CR34 publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-017-5406-2 – volume: 24 start-page: 759 year: 2005 ident: 50661_CR15 publication-title: Chaos Solitons Fract. doi: 10.1016/j.chaos.2004.09.035 – volume: 32 start-page: 1 year: 2015 ident: 50661_CR24 publication-title: Appl. Res. Comput. – volume: 165 start-page: 1 year: 2022 ident: 50661_CR6 publication-title: Chaos Solitons Fract. doi: 10.1016/j.chaos.2022.112781 – volume: 9 start-page: 37855 year: 2021 ident: 50661_CR18 publication-title: IEEE Access. doi: 10.1109/ACCESS.2021.3063237 – volume: 132 start-page: 96 year: 2017 ident: 50661_CR16 publication-title: Signal Process. doi: 10.1016/j.sigpro.2016.10.003 – volume: 90 start-page: 146 year: 2017 ident: 50661_CR27 publication-title: Opt. Lasers Eng. doi: 10.1016/j.optlaseng.2016.10.006 – volume: 7 start-page: 36667 year: 2019 ident: 50661_CR8 publication-title: IEEE Access. doi: 10.1109/ACCESS.2019.2906292 – volume: 52 start-page: 15703 year: 2022 ident: 50661_CR29 publication-title: Appl. Intell. doi: 10.1007/s10489-022-03174-3 – volume: 152 start-page: 356 year: 2021 ident: 50661_CR7 publication-title: Pattern Recogn. Lett. doi: 10.1016/j.patrec.2021.10.033 – volume: 21 start-page: 3925 year: 2021 ident: 50661_CR13 publication-title: Sensors. doi: 10.3390/s21113925 – volume: 69 start-page: 1 year: 2020 ident: 50661_CR4 publication-title: Acta Phys. Sin. Chin. Ed. doi: 10.7498/aps.69.1167 – year: 2019 ident: 50661_CR26 publication-title: The Chaos Decision Tree Algorithm: an automated tool for the experimental study of complex dynamics. doi: 10.48550/arXiv.1904.00986 – volume: 52 start-page: 6 year: 2017 ident: 50661_CR36 publication-title: Signal Process. Image Commun. doi: 10.1016/j.image.2016.12.007 – ident: 50661_CR3 – volume: 54 start-page: 1 year: 2022 ident: 50661_CR25 publication-title: Opt. Quant. Electron. doi: 10.1007/s11082-022-03646-3 – volume: 10 start-page: 1 year: 2018 ident: 50661_CR35 publication-title: IEEE Photon. J. doi: 10.1109/JPHOT.2018.2881166 – volume: 9 start-page: 781 year: 2019 ident: 50661_CR32 publication-title: Appl. Sci. doi: 10.3390/app9040781 – ident: 50661_CR22 doi: 10.1088/1757-899X/1080/1/012006 – volume: 22 start-page: 486 year: 2020 ident: 50661_CR20 publication-title: Int. J. Netw. Secur. – volume: 90 start-page: 146 year: 2017 ident: 50661_CR33 publication-title: Opt. Lasers Eng. doi: 10.1016/j.optlaseng.2016.10.006 – ident: 50661_CR5 doi: 10.3390/e22020243 – volume: 154 start-page: 111693 year: 2022 ident: 50661_CR10 publication-title: Chaos Solitons Fract. doi: 10.1016/j.chaos.2021.111693 – volume: 10 start-page: 244 year: 2021 ident: 50661_CR17 publication-title: IEEE Access. – volume: 77 start-page: 1 year: 2018 ident: 50661_CR1 publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-016-4205-5 – volume: 9 start-page: 25911 year: 2021 ident: 50661_CR23 publication-title: IEEE Access. doi: 10.1109/ACCESS.2021.3056037 – ident: 50661_CR19 doi: 10.1142/S0218001416570019 – volume: 30 start-page: 1 year: 2019 ident: 50661_CR9 publication-title: Multidimension. Syst. Signal Process. doi: 10.1007/s11045-018-0622-0 – volume: 81 start-page: 12069 year: 2022 ident: 50661_CR31 publication-title: Multimed. Tools Appl. – volume: 24 start-page: 1827 year: 2022 ident: 50661_CR11 publication-title: Entropy doi: 10.3390/e24121827 |
| SSID | ssj0000529419 |
| Score | 2.4647765 |
| Snippet | In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition.... Abstract In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR... |
| SourceID | doaj pubmedcentral proquest pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 402 |
| SubjectTerms | 639/705 639/766 692/308 Algorithms Decomposition Humanities and Social Sciences multidisciplinary Science Science (multidisciplinary) Statistical analysis Theoretical analysis |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3daxQxEA9SEHwRv12tEsE3Dd18bvKoYimCgmKhbyGf3kG7V65XpNA_vpNk7-z5-eLbssmyw8wk80tm8gtCL7WQfeJakKiSJ-XoJfFBJcJUzMz4rFwoG_ofP6mDQ_HhSB5du-qr1IQ1euCmuD1vsmQ6Kh9cEo4bLWKMg_CwuFIs61xmX4h51xZTjdWbGUHNdEqm53rvDCJVOU3GOJEQZikxW5GoEvb_DmX-Wiz5U8a0BqL9O-j2hCDxmyb5XXQjjffQzXan5MV9dDmlXvD8BKYKDE64vKjTAnbH3xbL-Wp2gkvoiri8woCqcYYZj8RC898oOnCtMiTejXF6_A6S4DBzC_gnbuTPuLR-_oJjKlXpU-nXA3S4__7ruwMyXbFAghR0RXzKsZiLpgHWbWGgVPWg25hMhtAVWR_7Pg06BGqSVFlGniM1TiqtUzLS8YdoZ1yM6THCAZCPykIkmrmIXmk6OBMoIEzqFQ-mQ3Stbhsm_vFyDcaxrXlwrm0zkQUT2WoiC9-82nxz2tg3_tr7bbHipmdhzq4vwJ_s5E_2X_7Uod21D9hpOJ9ZZkq-GLoMHXqxaYaBWLIrbkyL89KHFrhMFcjxqLnMRpJCg8ikVh3SW860Jep2yzifVbJvWJ4rASisQ6_XfvdDrj_r4sn_0MVTdIsBhqs7TnwX7ayW5-kZYLCVf16H2xWcIC6u priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3daxQxEA9aEXwRv3taJYJvGrrZZLPJk6hYiqCgWLi3sPnqFdrdendFCv7xzmRzW86Pvh2bLDfZmcxMZia_IeSVlk0VhZYsqOgYXr1kzqvIahVSbVxSnceA_ucv6vBIfpo38xJwW5Wyyo1OzIo6DB5j5Pu1wZQdHKnat-c_GHaNwuxqaaFxk9xC6DIs6Wrn7RRjwSyW5KbclamE3l-BvcI7ZbVgDRhbzsyWPcqw_f_yNf8umfwjb5rN0cE9crf4kfTdyPj75EbsH5DbY2fJy4fkV0nA0JMzUBgURHF5mZUD7U6PYVnrxRlFAxYoPqLgW9MEeo8FBPsfgTporjVkrutD-fkTKKF-0Q3wn3SEgKY4-vUbDRFr00sB2CNydPDx-4dDVhotMN9IvmYupoBM47GF05tvOVeVdG2IJoEBC3UVqiq22ntuYqNSE0QK3HSN0jpG03TiMdnphz7uEurB_1FJysiTkMEpzdvOeA5-JndKeDMjfPO5rS8o5NgM49TmbLjQdmSRBRbZzCIL77ye3jkfMTiunf0euTjNRPzs_GBYHtuyHa0zqal1UM53UXbCaBlCaGHNHAx60mlG9jYyYMumXtkrEZyRl9MwbEfMsXR9HC5wDkenmSug48koMhMlCIZYN1rNiN4Spi1St0f6k0WG_IZDupLgi83Im43cXdH1_2_x9PplPCN3avDRckRJ7JGd9fIiPgcfa-1e5I30G08RJUE priority: 102 providerName: ProQuest – databaseName: Springer Nature OA Free Journals dbid: C6C link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1baxUxEA61Ivgi3ru1SgTfNLjZXDZ51IOlCAqKhb6FXHsOtLtyeooU_PGdZC9ytAq-LZsJO7szyXybmXxB6JXioo5McRJkdCRvvSTOy0gaGVKjXZLW5wX9T5_l0TH_eCJOdlAz7YUpRfuF0rJM01N12NsLCDR5M1jDiIAoSYm-hW5n6vbs1Qu5mNdVcuaKUz3uj6mZuqHrVgwqVP034cs_yyR_y5WWEHR4H90bsSN-N2j7AO3E7iG6M5wmefUI_RyTLnh1DpMEBvdbX5UJAduz03692izPcQ5aAedbGPA0TjDXkZAJ_gdyDlzqC4mzXRgvf4Am2C9tD8_EA-0zzq1fvuIQcz36WPT1GB0ffvi2OCLj4QrEC043xMUUsqFobOGPzbeUypq7NkSdIGiFpg51HVvlPdVRyCQCS4FqK6RSMWph2RO02_Vd3EPYA-aRifNIE-PBSUVbqz0FbEmdZF5XiE6f2_iReTwfgHFmSgacKTOYyICJTDGRgT6v5z7fB96Nf0q_z1acJTNndrnRr0_N6EPG6SQaFaTzNnLLtOIhhBbemUIQTypV6GDyATMO5AvT6JwpBpG2Qi_nZhiCOa9iu9hfZhmagTKVoMfTwWVmTTIBYiOUrJDacqYtVbdbutWy0HzDj7nkgL8q9Gbyu196_f1b7P-f-DN0twGcVlaV2AHa3awv43PAWRv3ogysa4-uIw8 priority: 102 providerName: Springer Nature |
| Title | Medical image encryption algorithm based on a new five-dimensional multi-band multi-wing chaotic system and QR decomposition |
| URI | https://link.springer.com/article/10.1038/s41598-023-50661-9 https://www.ncbi.nlm.nih.gov/pubmed/38172586 https://www.proquest.com/docview/2909357137 https://www.proquest.com/docview/2910192169 https://pubmed.ncbi.nlm.nih.gov/PMC10764812 https://doaj.org/article/b9f528d6bcae4a3984ddd74b71362f8f |
| Volume | 14 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bb9MwFLZ2ERIviDsZozISb2CIE8exHxDqqk1TpU0wqNS3KL6tlboEsk6jEj-eYycpKhQknlrZTnPqc47P59t3EHolWBbbVDBiuFXEX70kSnNLEm5cIpXjpfYL-mfn_HTCxtNsuoP6dEddB15vndr5fFKTZvH2-7fVB3D49-2VcfHuGoKQvyiWpCSDCEqJ3EX7EJly76hnHdxvub4TyUKuD0_CTgBMJN09mu0_sxGrAqX_Nhz653HK3_ZUQ6g6uY_udRgTD1ujeIB2bPUQ3WmzTq4eoR_d5gyeX8FggsFMm1UYOHC5uKyb-XJ2hX1wM9gXYcDd2MGYSIxPBNCSeOBwDpGosjLd11uQBOtZWcM7cUsPjX3tpwtsrD-33h0Oe4wmJ8dfRqekS8JAdMbokijrjFcotTnM7HROKY-Zyo2VDoKbSWITxzYXWlNpM-4ykzpDZZlxIayVWZk-QXtVXdlnCGvARtwxZqlLmVFc0LyUmgIGpYqnWkaI9t1d6I6h3CfKWBRhpzwVRauiAlRUBBUV8Mzr9TNfW36Of7Y-8lpct_Tc2qGgbi6LzlULJV2WCMOVLi0rUymYMSaH_0wh2DvhInTY20DR22uRSL-jDE3yCL1cV4Or-v2XsrL1jW9DPaCmHOR42prMWhJPlJhkgkdIbBjThqibNdV8FujAYQLPGeC0CL3p7e6XXH_vi4P_6rnn6G4CcC4sPqWHaG_Z3NgXAMeWaoB282k-QPvD4fjzGD6Pjs8_XkDpiI8GYYljELzwJ75tM-4 |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELbKVgguiDcLBYwEJ7Aax45jHxCi0GpLH4KqlXoziR_dSm227G5VrcRv4jcyk8dWy6O33qLYScaeycxnz3iGkNdaZkkQWjKvQsnw6CUrnQosVT6mpoyqcLihv7OrBgfyy2F2uER-dWdhMKyy04m1ovYjh3vkq6lBlx0sqfIPZz8YVo1C72pXQqMRi60wu4Al2-T95mfg75s03Vjf_zRgbVUB5jLJp6wM0SOFPOSwVHE55yqRZe6DiaCtfZr4JAm5do6bkKmYeRE9N0WmtA7BZIWA994gy1LAUqZHltfWd7_uzXd10G8muWlP5yRCr07AQuIptlSwDMw7Z2bBAtaFAv6Fbv8O0vzDU1sbwI275E6LXOnHRtTukaVQ3Sc3m1qWswfkZ-vyocenoKIoCP94VqsjWpwcwUROh6cUTaaneIsCmqcRNC3zWF6gSQ1C6-hGVhaVby8vgBLqhsUIvkmbpNMUW7_tUR8wGr4NOXtIDq6FCY9IrxpV4QmhDhCXilIGHoX0pdI8L4zjgGx5qYQzfcK76bauzXuO5TdObO1_F9o2LLLAIluzyMIzb-fPnDVZP67svYZcnPfEjN31jdH4yLYKwJYmZqn2qnRFkIUwWnrvcxgzBwgRdeyTlU4GbKtGJvZS6Pvk1bwZFAB6dYoqjM6xD0eYzhXQ8bgRmTklmH4xzbTqE70gTAukLrZUx8M6yThPciUB_fXJu07uLun6_1w8vXoYL8mtwf7Ott3e3N16Rm6ngBDr_SyxQnrT8Xl4DghvWr5ofytKvl_3n_wbSS1jag |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKEYgL4k2ggJHgBNbGie3YB4SAsmopVICotLeQ-NGt1GbL7lbVSvwyfh0zTrLV8uittyh2konn4c-e8Qwhz7SQqc-1YE75muHRS1Zb5VmmXMhMHVRlcUP_067a2hMfRnK0Rn71Z2EwrLK3idFQu4nFPfJBZtBlB0uqYhC6sIjPm8PXxz8YVpBCT2tfTqMVkR2_OIXl2-zV9ibw-nmWDd9_e7fFugoDzErB56z2wSG13BewbLEF5yoVdeG8CWC5XZa6NPWFtpYbL1WQLg-Om0oqrb03ssrhvZfI5SKXHHWsGBXL_R30oAluunM6aa4HM5gr8TxbljMJEz1nZmUujCUD_oVz_w7X_MNnG6fC4Q1yvcOw9E0rdDfJmm9ukSttVcvFbfKzc_7QgyMwVhTUYLqIholWh_swjPPxEcXJ01G8RQHX0wA2lzksNNAmCaExzpHVVeO6y1OghNpxNYFv0jb9NMXWL1-p8xgX3wWf3SF7F8KCu2S9mTT-PqEWsJcKQngecuFqpXlRGcsB4_Ja5dYkhPfDXdouAzoW4jgsoyc-12XLohJYVEYWlfDMi-Uzx23-j3N7v0UuLnti7u54YzLdLztTUNYmyEw7VdvKiyo3WjjnCvhnDmAi6JCQjV4Gys6gzMoz8U_I02UzmAL071SNn5xgH46AnSug414rMktKMBFjJrVKiF4RphVSV1uag3FMN87TQgnAgQl52cvdGV3_H4sH5__GE3IV9Lf8uL2785BcywAqxo2tfIOsz6cn_hFAvXn9OOoUJd8vWol_A9s7Zjo |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Medical+image+encryption+algorithm+based+on+a+new+five-dimensional+multi-band+multi-wing+chaotic+system+and+QR+decomposition&rft.jtitle=Scientific+reports&rft.au=Zhuang%2C+Zeben&rft.au=Zhuang%2C+Zhiben&rft.au=Wang%2C+Tao&rft.date=2024-01-03&rft.issn=2045-2322&rft.eissn=2045-2322&rft.volume=14&rft.issue=1&rft_id=info:doi/10.1038%2Fs41598-023-50661-9&rft.externalDBID=n%2Fa&rft.externalDocID=10_1038_s41598_023_50661_9 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |