Robust and Secure Watermarking of Medical Images Using Möbius Transforms

Watermarking medical images is essential to ensure data integrity, authentication, and secure information transfer in healthcare systems. This paper explores the application of Möbius transforms, a non-linear transformation technique, for robust and secure watermarking of medical images. Our approac...

Full description

Saved in:
Bibliographic Details
Published in2024 10th International Conference on Artificial Intelligence and Robotics (QICAR) pp. 208 - 214
Main Authors Al-Rammahi, Atheer, Sajedi, Hedieh
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.02.2024
Subjects
Online AccessGet full text
DOI10.1109/QICAR61538.2024.10496638

Cover

Loading…
Abstract Watermarking medical images is essential to ensure data integrity, authentication, and secure information transfer in healthcare systems. This paper explores the application of Möbius transforms, a non-linear transformation technique, for robust and secure watermarking of medical images. Our approach optimizes Möbius transform parameters through an evolutionary algorithm. Comprehensive experiments subject medical images to common attacks, evaluating the robustness of the Möbius transform-based watermarking (MTW) method using performance measures. The findings demonstrate significant resilience, maintaining image quality and watermark integrity. This paper enhances medical data security, contributing to secure medical imaging systems, advancing reliability, and confidentiality in healthcarepractices.
AbstractList Watermarking medical images is essential to ensure data integrity, authentication, and secure information transfer in healthcare systems. This paper explores the application of Möbius transforms, a non-linear transformation technique, for robust and secure watermarking of medical images. Our approach optimizes Möbius transform parameters through an evolutionary algorithm. Comprehensive experiments subject medical images to common attacks, evaluating the robustness of the Möbius transform-based watermarking (MTW) method using performance measures. The findings demonstrate significant resilience, maintaining image quality and watermark integrity. This paper enhances medical data security, contributing to secure medical imaging systems, advancing reliability, and confidentiality in healthcarepractices.
Author Sajedi, Hedieh
Al-Rammahi, Atheer
Author_xml – sequence: 1
  givenname: Atheer
  surname: Al-Rammahi
  fullname: Al-Rammahi, Atheer
  email: atheer.alrammahi@ut.ac.ir
  organization: University of Tehran,College of Science,Department of Mathematics, Statistics and Computer Science,Tehran,Iran,14155-6455
– sequence: 2
  givenname: Hedieh
  surname: Sajedi
  fullname: Sajedi, Hedieh
  email: hhsajedi@ut.ac.ir
  organization: University of Tehran,College of Science,Department of Mathematics, Statistics and Computer Science,Tehran,Iran,14155-6455
BookMark eNo1j0tOwzAURY0EAyjdAQNvIOH5k9geoopPpFaI0oph9ZI8VxZNguxkwMbYABujFTC60hkcnXvFzvuhJ8a4gFwIcLcv1eJuXYpC2VyC1LkA7cpS2TM2d8ZZVYDS1hp1yar1UE9p5Ni3_JWaKRJ_w5Fih_E99Hs-eL6iNjR44FWHe0p8m0589f1VhynxTcQ--SF26ZpdeDwkmv_tjG0f7jeLp2z5_HjMWWZBCDdm0pbgjVFgTCsbUmBtjUai1rV3BZFHIGUVOokWPFILQEJjUZfYKEOtmrGbX28got1HDMfUz93_Q_UDDQBMmA
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/QICAR61538.2024.10496638
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9798350348873
EndPage 214
ExternalDocumentID 10496638
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i119t-2860f773077d2ce3088ba72a44bf95eefa0e383a92a80faed00e14a5b6ac37ed3
IEDL.DBID RIE
IngestDate Wed May 01 11:49:11 EDT 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i119t-2860f773077d2ce3088ba72a44bf95eefa0e383a92a80faed00e14a5b6ac37ed3
PageCount 7
ParticipantIDs ieee_primary_10496638
PublicationCentury 2000
PublicationDate 2024-Feb.-29
PublicationDateYYYYMMDD 2024-02-29
PublicationDate_xml – month: 02
  year: 2024
  text: 2024-Feb.-29
  day: 29
PublicationDecade 2020
PublicationTitle 2024 10th International Conference on Artificial Intelligence and Robotics (QICAR)
PublicationTitleAbbrev QICAR
PublicationYear 2024
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.8647597
Snippet Watermarking medical images is essential to ensure data integrity, authentication, and secure information transfer in healthcare systems. This paper explores...
SourceID ieee
SourceType Publisher
StartPage 208
SubjectTerms Data security
Healthcare Data Security
Image quality
Measurement
Medical Image Watermarking
Medical services
Möbius Transforms
Transforms
Visualization
Watermarking
Title Robust and Secure Watermarking of Medical Images Using Möbius Transforms
URI https://ieeexplore.ieee.org/document/10496638
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1NS8MwGA5uJ08qTvwmB6-tbZo2yVGGYxM2dGy420iaNzDEVmx78Yf5B_xjJumqKAjeQghJyMv7medJELri1GHLraYlIFRAE2YCxygONE1TRiWjPHbc4eksGy_p3SpdbcnqngsDAB58BqFr-rt8XeaNK5VZDac2Ok94D_Vs5taStTp0TiSuHybDm7kLYBxki9CwG_7j4xTvN0Z7aNat2MJFnsKmVmH-9usxxn9vaR8Nvil6-P7L-RygHSgO0WReqqaqsSw09oV0wI_S215fEcelwduLGTx5toakwh4xgKcf72rTVHjRRbHVAC1Ht4vhONj-lRBs4ljUAeFZZJhVV8Y0ySGxxkNJRiSlyogUwMgIbDIqBZE8MhJ0FEFMZaoymScMdHKE-kVZwDHCRBulweYhkghq7TLPubLT2MzMpJpl-QkauHNYv7TPYay7Izj9o_8M7TpxeB64OEf9-rWBC-vJa3XpJfgJxyKftA
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1NS8MwGA46D3pSceK3OXhtbdO0aY4yHKtuQ8eGu42keQMitmLbiz_MP-AfM8lWRUHwFgL5IC_vZ54nQegipRZbbjQtAi49GjHtWUaxp2gcMyoYTUPLHR6Nk8GM3szj-Yqs7rgwAODAZ-DbprvLV2Xe2FKZ0XBqovMoXUcbxvFTvqRrtficgF_eZ72riQ1hLGiLUL8d8OPrFOc5-tto3K65BIw8-U0t_fzt13OM_97UDup-k_Tw3Zf72UVrUOyhbFLKpqqxKBR2pXTAD8JZX1cTx6XGq6sZnD0bU1JhhxnAo493-dhUeNrGsVUXzfrX097AW_2W4D2GIa89kiaBZkZhGVMkh8iYDykYEZRKzWMALQIw6ajgRKSBFqCCAEIqYpmIPGKgon3UKcoCDhAmSksFJhMRhFNjmdM8lWYak5vpWLEkP0Rdew6Ll-WDGIv2CI7-6D9Hm4PpaLgYZuPbY7RlReNY4fwEderXBk6NX6_lmZPmJ1cfowQ
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%3Abook&rft.genre=proceeding&rft.title=2024+10th+International+Conference+on+Artificial+Intelligence+and+Robotics+%28QICAR%29&rft.atitle=Robust+and+Secure+Watermarking+of+Medical+Images+Using+M%C3%B6bius+Transforms&rft.au=Al-Rammahi%2C+Atheer&rft.au=Sajedi%2C+Hedieh&rft.date=2024-02-29&rft.pub=IEEE&rft.spage=208&rft.epage=214&rft_id=info:doi/10.1109%2FQICAR61538.2024.10496638&rft.externalDocID=10496638