Key-Free Image Encryption Algorithm Based on Self-Triggered Gaussian Noise Sampling

With the emergence of the big data era, data privacy has become an increasingly important concern. Digital image, as one of the most prevalent forms of data, frequently contains sensitive information. Thus, ensuring the protection of this information has become a pressing issue. Consequently, resear...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE access Ročník 12; s. 153274 - 153284
Hlavní autori: Gao, Kai, Chang, Chin-Chen, Lin, Chia-Chen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Big Data
Complexity
Decoding
denoising diffusion probabilistic model
Digital images
Digital imaging
Encryption
Image analysis
Image encryption
Image enhancement
Image quality
Image transmission
key-free
Noise reduction
Privacy
Random noise
Security
self-embedding
Streaming media
Thumbnail icons
Training
Visualization
White noise
ISSN:2169-3536, 2169-3536
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract With the emergence of the big data era, data privacy has become an increasingly important concern. Digital image, as one of the most prevalent forms of data, frequently contains sensitive information. Thus, ensuring the protection of this information has become a pressing issue. Consequently, researchers have been exploring various encryption algorithms to protect the privacy of image data effectively. However, traditional image encryption algorithms often face significant limitations, such as the requirement for transmitting encryption secret keys, high computational complexity, or vulnerability to decryption errors. To overcome these problems, in this paper, we propose a key-free image encryption algorithm that offers low computational complexity and high security. In addition, we use a pre-trained decoder to improve the visual quality of the embedded secret thumbnail image. Experimental results show that the proposed scheme exhibits strong security and superior image enhancement performance, making it well-suited for practical applications.
AbstractList With the emergence of the big data era, data privacy has become an increasingly important concern. Digital image, as one of the most prevalent forms of data, frequently contains sensitive information. Thus, ensuring the protection of this information has become a pressing issue. Consequently, researchers have been exploring various encryption algorithms to protect the privacy of image data effectively. However, traditional image encryption algorithms often face significant limitations, such as the requirement for transmitting encryption secret keys, high computational complexity, or vulnerability to decryption errors. To overcome these problems, in this paper, we propose a key-free image encryption algorithm that offers low computational complexity and high security. In addition, we use a pre-trained decoder to improve the visual quality of the embedded secret thumbnail image. Experimental results show that the proposed scheme exhibits strong security and superior image enhancement performance, making it well-suited for practical applications.
Author Lin, Chia-Chen
Chang, Chin-Chen
Gao, Kai
Author_xml – sequence: 1
  givenname: Kai
  orcidid: 0000-0002-7505-9037
  surname: Gao
  fullname: Gao, Kai
  organization: Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan
– sequence: 2
  givenname: Chin-Chen
  orcidid: 0000-0002-7319-5780
  surname: Chang
  fullname: Chang, Chin-Chen
  email: alan3c@gmail.com
  organization: Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan
– sequence: 3
  givenname: Chia-Chen
  orcidid: 0000-0003-4480-7351
  surname: Lin
  fullname: Lin, Chia-Chen
  email: ally.cclin@ncut.edu.tw
  organization: Department of Computer Science and Information Engineering, National of Chin-Yi University of Technology, Taichung, Taiwan
BookMark eNp9kTtv2zAUhYkiBZqk_gXNICCzXL7Ex-gaTmokaAe5M0GJVyoNWXRIefC_L12lQNAhXEgc3O_cA54bdDWGERD6QvCSEKy_rtbrTV0vKaZ8yTjnmooP6JoSoUtWMXH15v0JLVLa43xUlip5jeonOJcPEaDYHmwPxWZs4_k4-TAWq6EP0U-_D8U3m8AVWaph6Mpd9H0PMSuP9pSSt2PxI_gERW0Px8GP_Wf0sbNDgsXrfYt-PWx26-_l88_H7Xr1XLYc66lUnSTSYd5wgRVrFAchlGNSaV3phgMhjaLOaeXcJawWDRZWd1w465ygit2i7ezrgt2bY_QHG88mWG_-CiH2xsbJtwMYSTuiQDvdsIpjaxvAlNi8tam0pkxmr_vZ6xjDywnSZPbhFMcc3zBCtFSSYJ6n9DzVxpBShM60frKX35qi9YMh2FwqMXMl5lKJea0ks-w_9l_i96m7mfIA8IYQTOFKsj_5_5ee
CODEN IAECCG
CitedBy_id crossref_primary_10_1109_ACCESS_2025_3560686
Cites_doi 10.1016/j.jvcir.2022.103481
10.1109/TIFS.2018.2871749
10.1016/j.jvcir.2021.103421
10.52866/ijcsm.2023.01.01.007
10.1016/j.sigpro.2018.07.008
10.1109/TCSVT.2018.2863029
10.1364/AO.469155
10.1016/j.ins.2010.03.027
10.1016/j.sigpro.2017.09.020
10.1016/j.sigpro.2014.04.032
10.1109/tdsc.2022.3228385
10.1016/j.image.2022.116696
10.1007/978-3-319-24574-4_28
10.1109/TIFS.2011.2176120
10.1016/j.patrec.2003.10.014
10.1016/j.dsp.2012.06.015
10.1109/TCC.2023.3259478
10.1109/ACCESS.2024.3371888
10.1109/LSP.2016.2548421
10.1109/CVPR.2017.369
10.1109/LSP.2011.2114651
10.1109/JIOT.2020.3012452
10.1109/TIFS.2016.2598528
10.1364/AO.428203
10.1109/TCSVT.2015.2418611
10.1109/TIFS.2020.3006382
10.1109/LSP.2012.2187334
10.1016/j.jvcir.2019.04.015
10.1007/s00371-022-02459-5
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
DBID 97E
ESBDL
RIA
RIE
AAYXX
CITATION
7SC
7SP
7SR
8BQ
8FD
JG9
JQ2
L7M
L~C
L~D
DOA
DOI 10.1109/ACCESS.2024.3444926
DatabaseName IEEE Xplore (IEEE)
IEEE Xplore Open Access Journals
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
Computer and Information Systems Abstracts
Electronics & Communications Abstracts
Engineered Materials Abstracts
METADEX
Technology Research Database
Materials Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Materials Research Database
Engineered Materials Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Electronics & Communications Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Advanced Technologies Database with Aerospace
METADEX
Computer and Information Systems Abstracts Professional
DatabaseTitleList

Materials Research Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2169-3536
EndPage 153284
ExternalDocumentID oai_doaj_org_article_72f18e9d9b3540aabe021a83bb599237
10_1109_ACCESS_2024_3444926
10638057
Genre orig-research
GrantInformation_xml – fundername: National Science and Technology Council
  grantid: NSTC 113-2410-H-167-012-MY3; NSTC 113-2634-F-005-001-MBK
  funderid: 10.13039/501100020950
GroupedDBID 0R~
4.4
5VS
6IK
97E
AAJGR
ABAZT
ABVLG
ACGFS
ADBBV
AGSQL
ALMA_UNASSIGNED_HOLDINGS
BCNDV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
EJD
ESBDL
GROUPED_DOAJ
IPLJI
JAVBF
KQ8
M43
M~E
O9-
OCL
OK1
RIA
RIE
RNS
AAYXX
CITATION
7SC
7SP
7SR
8BQ
8FD
JG9
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c409t-8f717d04b46083b84e668d3789959b4e11b82dd98dd169596b06a9f46dadd6283
IEDL.DBID DOA
ISICitedReferencesCount 1
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001340673400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2169-3536
IngestDate Fri Oct 03 12:21:26 EDT 2025
Mon Jun 30 15:05:33 EDT 2025
Sat Nov 29 04:27:02 EST 2025
Tue Nov 18 22:32:58 EST 2025
Wed Aug 27 02:14:41 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
License https://creativecommons.org/licenses/by-nc-nd/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c409t-8f717d04b46083b84e668d3789959b4e11b82dd98dd169596b06a9f46dadd6283
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0003-4480-7351
0000-0002-7505-9037
0000-0002-7319-5780
OpenAccessLink https://doaj.org/article/72f18e9d9b3540aabe021a83bb599237
PQID 3119787104
PQPubID 4845423
PageCount 11
ParticipantIDs ieee_primary_10638057
proquest_journals_3119787104
crossref_primary_10_1109_ACCESS_2024_3444926
doaj_primary_oai_doaj_org_article_72f18e9d9b3540aabe021a83bb599237
crossref_citationtrail_10_1109_ACCESS_2024_3444926
PublicationCentury 2000
PublicationDate 20240000
2024-00-00
20240101
2024-01-01
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – year: 2024
  text: 20240000
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE access
PublicationTitleAbbrev Access
PublicationYear 2024
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref12
ref15
ref14
Kingma (ref27) 2014
ref31
ref30
ref11
ref10
ref2
ref1
ref17
ref16
ref19
ref18
Ho (ref21); 33
Song (ref32) 2020
ref24
ref23
ref26
ref25
ref20
ref22
ref28
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref12
  doi: 10.1016/j.jvcir.2022.103481
– ident: ref29
  doi: 10.1109/TIFS.2018.2871749
– ident: ref7
  doi: 10.1016/j.jvcir.2021.103421
– ident: ref14
  doi: 10.52866/ijcsm.2023.01.01.007
– ident: ref6
  doi: 10.1016/j.sigpro.2018.07.008
– ident: ref11
  doi: 10.1109/TCSVT.2018.2863029
– ident: ref24
  doi: 10.1364/AO.469155
– ident: ref20
  doi: 10.1016/j.ins.2010.03.027
– ident: ref15
  doi: 10.1016/j.sigpro.2017.09.020
– year: 2014
  ident: ref27
  article-title: Adam: A method for stochastic optimization
  publication-title: arXiv:1412.6980
– ident: ref5
  doi: 10.1016/j.sigpro.2014.04.032
– ident: ref9
  doi: 10.1109/tdsc.2022.3228385
– year: 2020
  ident: ref32
  article-title: Denoising diffusion implicit models
  publication-title: arXiv:2010.02502
– volume: 33
  start-page: 6840
  volume-title: Proc. NIPS
  ident: ref21
  article-title: Denoising diffusion probabilistic models
– ident: ref8
  doi: 10.1016/j.image.2022.116696
– ident: ref26
  doi: 10.1007/978-3-319-24574-4_28
– ident: ref3
  doi: 10.1109/TIFS.2011.2176120
– ident: ref30
  doi: 10.1016/j.patrec.2003.10.014
– ident: ref19
  doi: 10.1016/j.dsp.2012.06.015
– ident: ref13
  doi: 10.1109/TCC.2023.3259478
– ident: ref25
  doi: 10.1109/ACCESS.2024.3371888
– ident: ref28
  doi: 10.1109/LSP.2016.2548421
– ident: ref31
  doi: 10.1109/CVPR.2017.369
– ident: ref2
  doi: 10.1109/LSP.2011.2114651
– ident: ref22
  doi: 10.1109/JIOT.2020.3012452
– ident: ref10
  doi: 10.1109/TIFS.2016.2598528
– ident: ref23
  doi: 10.1364/AO.428203
– ident: ref4
  doi: 10.1109/TCSVT.2015.2418611
– ident: ref16
  doi: 10.1109/TIFS.2020.3006382
– ident: ref1
  doi: 10.1109/LSP.2012.2187334
– ident: ref17
  doi: 10.1016/j.jvcir.2019.04.015
– ident: ref18
  doi: 10.1007/s00371-022-02459-5
SSID ssj0000816957
Score 2.3070445
Snippet With the emergence of the big data era, data privacy has become an increasingly important concern. Digital image, as one of the most prevalent forms of data,...
SourceID doaj
proquest
crossref
ieee
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 153274
SubjectTerms Algorithms
Big Data
Complexity
Decoding
denoising diffusion probabilistic model
Digital images
Digital imaging
Encryption
Image analysis
Image encryption
Image enhancement
Image quality
Image transmission
key-free
Noise reduction
Privacy
Random noise
Security
self-embedding
Streaming media
Thumbnail icons
Training
Visualization
White noise
SummonAdditionalLinks – databaseName: IEEE Electronic Library (IEL)
  dbid: RIE
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NbxMxELVoxQEOpUARKS3ygSMu--HY62MaNYBAEVIK6s2y17MhUrqpNkml_ntmvG5UhEDitrJsre3nj3lj-w1j78Dl0qngBUgVhKzroXBOFQKJGI4f0zgXFfh-fNXTaXV1Zb6lx-rxLQwAxMtncEaf8Sw_rOotucpwhuNoQQNjj-1prfrHWjuHCkWQMEOdlIXyzHwYjcfYCOSAhTwrpSRpvN92nyjSn6Kq_LEUx_1l8uw_a3bIDpIhyUc98s_ZI2hfsKcP5AVfstkXuBOTDoB_vsZlg1-0dXcXlwg-Ws5X3WLz85qf4zYWOCbNYNmISyTrcwrfyT-67ZoeWPLparEGPnN09bydH7Hvk4vL8SeRgiiIGqnbRlQNEraQSS8V9r6vJChVhVJXJDTmJeS5r4oQTBUC9Z9RPlPONIgcrnwKjY9XbL9dtfCaccyoy7JuSM8QiZJH8lPKYV4GjbxIu3LAivvOtXVSGKdAF0sbmUZmbI-IJURsQmTA3u8K3fQCG__Ofk6o7bKSOnZMQDhsmmxWF01egQnGk1fLOQ9oyThsvR8aNGj1gB0RhA_-16M3YCf3g8Cmqby2JR20Iq3M5PFfir1hT6iKvWPmhO1vui2cssf17Wax7t7GUfoLFtriSg
  priority: 102
  providerName: IEEE
Title Key-Free Image Encryption Algorithm Based on Self-Triggered Gaussian Noise Sampling
URI https://ieeexplore.ieee.org/document/10638057
https://www.proquest.com/docview/3119787104
https://doaj.org/article/72f18e9d9b3540aabe021a83bb599237
Volume 12
WOSCitedRecordID wos001340673400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2169-3536
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000816957
  issn: 2169-3536
  databaseCode: DOA
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2169-3536
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000816957
  issn: 2169-3536
  databaseCode: M~E
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LSwMxEA5SPOhBfFSsL3LwaOzuJs0mx1paFbUIVektJJtsFepW2ip48bc7ya5SEfTiZQ8hSzYzk5n5ssk3CB05HTPNrSGOcUtYlrWI1jwhAMTAfmSudWDgu79K-30xHMqbhVJf_kxYSQ9cCq6ZJnksnLTS-B0KrY2DqKQFNaYlITkJ98ijVC6AqeCDRcxlK61ohuJINtudDswIAGHCTihjnifvWygKjP1ViZUffjkEm946WquyRNwuv24DLbliE60ucAduocGleyO9qXP44gl8Au4W2fQtrH_cHo8mgPkfnvApxCiLoWngxjm5BSQ-8rU58Zl-mfnbk7g_eZw5PND-XHkxqqO7Xve2c06qCgkkA1w2JyIHNGYjZhgH0RrBHOfC0lR4FjHDXBwbkVgrhbVeHpKbiGuZg1rArXHILLZRrZgUbgdh6JhSmuWerBBQkAFkQ1krpjYF0JNq2kDJp7BUVtGH-yoWYxVgRCRVKWHlJawqCTfQ8ddLzyV7xu_dT70Wvrp66uvQAAahKoNQfxlEA9W9DhfGAxcDWWkD7X8qVVXrdKao_4sKmDFiu_8x9h5a8fMpt2j2UW0-fXEHaDl7nT_OpofBROF5_d49DBcNPwDCreaP
linkProvider Directory of Open Access Journals
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LbxMxELagIEEPPIsIFPCBIy77cLzrYxo1tGqIkBJQb5a9nk0jpRu0SSr13zPjdaMiBBK3lWVrbX9-zDe2v2HsI9hUWuWdAKm8kFXVF9aqTCARw_Gja2uDAt-PcTGZlBcX-lt8rB7ewgBAuHwGR_QZzvL9qtqSqwxnOI4WNDDuswcUOkt3z7V2LhWKIaH7RdQWShP9eTAcYjOQBWbyKJeSxPF-23-CTH-Mq_LHYhx2mNHT_6zbM_YkmpJ80GH_nN2D5gXbvyMw-JJNz-FGjFoAfnaFCwc_aar2JiwSfLCcr9rF5vKKH-NG5jkmTWFZixnS9TkF8ORf7HZNTyz5ZLVYA59aunzezA_Y99HJbHgqYhgFUSF524iyRsrmE-mkwv53pQSlSp8XJUmNOQlp6srMe116T_2nlUuU1TVih2ufQvPjFdtrVg28ZhwzFnle1aRoiFTJIf3JZT_NfYHMqLB5j2W3nWuqqDFOoS6WJnCNRJsOEUOImIhIj33aFfrZSWz8O_sxobbLSvrYIQHhMHG6mSKr0xK01478WtY6QFvGYutdX6NJW_TYAUF4538dej12eDsITJzMa5PTUSsSy0S--UuxD-zR6ezr2IzPJudv2WOqbuemOWR7m3YL79jD6nqzWLfvw4j9BRqP5Zk
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=Key-Free+Image+Encryption+Algorithm+Based+on+Self-Triggered+Gaussian+Noise+Sampling&rft.jtitle=IEEE+access&rft.au=Gao%2C+Kai&rft.au=Chang%2C+Chin-Chen&rft.au=Lin%2C+Chia-Chen&rft.date=2024&rft.issn=2169-3536&rft.eissn=2169-3536&rft.volume=12&rft.spage=153274&rft.epage=153284&rft_id=info:doi/10.1109%2FACCESS.2024.3444926&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_ACCESS_2024_3444926
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2169-3536&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2169-3536&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2169-3536&client=summon