Adaptive DICOM images encryption using quadtree and lightweight ITUBee algorithm.
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| Title: | Adaptive DICOM images encryption using quadtree and lightweight ITUBee algorithm. |
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| Authors: | Hatem, Muntaha Abdulzahra1 muntaha.hatem@scrdiraq.gov.iq, Hameedi, Balsam Abdulkadhim2 Balsam119@res-rus2.edu.iq, Hasoon, Jamal Nasir3 jamal.hasoon@uomustansiriyah.edu.iq, Abdulkadhum, Fahad Ghalib4 ahadg.abdulkadhim@uokufa.edu.iq |
| Source: | Telkomnika. Dec2025, Vol. 23 Issue 6, p1743-1754. 12p. |
| Subjects: | Dicom (Computer network protocol), Data encryption, Image encryption, Quadtrees, Privacy, Entropy (Information theory), Medical photography |
| Abstract: | The encryption of medical images protects the privacy of patient information transmitted over networks and communications. In this paper, a lightweight encryption method for medical images is proposed, combining a quadtreebased segmentation and a modified ITUBee algorithm for encryption. A digital imaging and communications in medicine (DICOM) image is divided into variable-size blocks using the quadtree technique, and the key is generated through a two-dimensional Henon map; the first dimension is used in the confusion process (bit permutation) of the pixel values, and the second sequence is used to generate the key schedule through the application round function. Different numbers of rounds are applied to the ITUBee method based on the size of the segments in the quadtree, making the algorithm adaptive by increasing the round number when the block size is reduced. The method is used as a lightweight encryption method for encrypting all blocks, utilizing different round numbers for each block size to balance the degree of complexity with the total time consumption of the DICOM image. The result reinforces the proposed method, which produced a high mean squared error (MSE) between the DICOM image and the Encrypted One, and a lower peak signal-to-noise ratio (PSNR). The proposed generated numbers were also tested using national institute of standards and technology (NIST) to evaluate the randomness. [ABSTRACT FROM AUTHOR] |
| Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 190659400 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Adaptive DICOM images encryption using quadtree and lightweight ITUBee algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hatem%2C+Muntaha+Abdulzahra%22">Hatem, Muntaha Abdulzahra</searchLink><relatesTo>1</relatesTo><i> muntaha.hatem@scrdiraq.gov.iq</i><br /><searchLink fieldCode="AR" term="%22Hameedi%2C+Balsam+Abdulkadhim%22">Hameedi, Balsam Abdulkadhim</searchLink><relatesTo>2</relatesTo><i> Balsam119@res-rus2.edu.iq</i><br /><searchLink fieldCode="AR" term="%22Hasoon%2C+Jamal+Nasir%22">Hasoon, Jamal Nasir</searchLink><relatesTo>3</relatesTo><i> jamal.hasoon@uomustansiriyah.edu.iq</i><br /><searchLink fieldCode="AR" term="%22Abdulkadhum%2C+Fahad+Ghalib%22">Abdulkadhum, Fahad Ghalib</searchLink><relatesTo>4</relatesTo><i> ahadg.abdulkadhim@uokufa.edu.iq</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Telkomnika%22">Telkomnika</searchLink>. Dec2025, Vol. 23 Issue 6, p1743-1754. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Dicom+%28Computer+network+protocol%29%22">Dicom (Computer network protocol)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+encryption%22">Data encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Image+encryption%22">Image encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Quadtrees%22">Quadtrees</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Entropy+%28Information+theory%29%22">Entropy (Information theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+photography%22">Medical photography</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The encryption of medical images protects the privacy of patient information transmitted over networks and communications. In this paper, a lightweight encryption method for medical images is proposed, combining a quadtreebased segmentation and a modified ITUBee algorithm for encryption. A digital imaging and communications in medicine (DICOM) image is divided into variable-size blocks using the quadtree technique, and the key is generated through a two-dimensional Henon map; the first dimension is used in the confusion process (bit permutation) of the pixel values, and the second sequence is used to generate the key schedule through the application round function. Different numbers of rounds are applied to the ITUBee method based on the size of the segments in the quadtree, making the algorithm adaptive by increasing the round number when the block size is reduced. The method is used as a lightweight encryption method for encrypting all blocks, utilizing different round numbers for each block size to balance the degree of complexity with the total time consumption of the DICOM image. The result reinforces the proposed method, which produced a high mean squared error (MSE) between the DICOM image and the Encrypted One, and a lower peak signal-to-noise ratio (PSNR). The proposed generated numbers were also tested using national institute of standards and technology (NIST) to evaluate the randomness. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12928/TELKOMNIKA.v23i6.27135 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1743 Subjects: – SubjectFull: Dicom (Computer network protocol) Type: general – SubjectFull: Data encryption Type: general – SubjectFull: Image encryption Type: general – SubjectFull: Quadtrees Type: general – SubjectFull: Privacy Type: general – SubjectFull: Entropy (Information theory) Type: general – SubjectFull: Medical photography Type: general Titles: – TitleFull: Adaptive DICOM images encryption using quadtree and lightweight ITUBee algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hatem, Muntaha Abdulzahra – PersonEntity: Name: NameFull: Hameedi, Balsam Abdulkadhim – PersonEntity: Name: NameFull: Hasoon, Jamal Nasir – PersonEntity: Name: NameFull: Abdulkadhum, Fahad Ghalib IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16936930 Numbering: – Type: volume Value: 23 – Type: issue Value: 6 Titles: – TitleFull: Telkomnika Type: main |
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