Evidence map›Paper›PMID 40681560›Full record

ArticleScientific reports2025

Ensuring integrity and security of medical image transmission in IoMT using highly imperceptible and robust watermarking approach.

Priyanka Singh, K Jyothsna Devi, Tousif Khan Nizami, Choudhary Shyam Prakash, Hiren Kumar Thakkar, Syed Abid Hussain, Saurav Mallik

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Priyanka SinghDepartment of Computer Science and Engineering, SRM University-A.P., Amaravati, 522 502, Andhra Pradesh, India.
K Jyothsna DeviDepartment of Computer Science and Engineering, Prasad V. Potluri Siddhartha Institute of Technology, 520 008, Vijayawada, India.
Tousif Khan NizamiDepartment of Electrical & Electronics Engineering, School of Engineering and Sciences, SRM University AP, Amaravati, India.
Choudhary Shyam PrakashDepartment of Computer Science and Engineering, National Institute of Technology, Tadepalligudem, Andhra Pradesh, India.
Hiren Kumar ThakkarDepartment of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India.
Syed Abid HussainDepartment of Computer Science and Engineering, Bakhtar University, Kart e Char, Kabul, 1001, Afghanistan. dr.abid@bakhtar.edu.af.ORCID http://orcid.org/0000-0003-3660-5629
Saurav MallikDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, 02115, USA. sauravmtech2@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the technological revolution, the Internet of medical things (IoMT) has developed to be of immense benefit. In IoMT, medical images and patients' data are widely transmitted through private/public network. An ideal transmission should not jeopardize the security, confidentiality, authenticity, authorization, or integrity of medical data/images. To ensure effective transmission and address the aforementioned issues, this paper proposes a blind region based medical image watermarking approach where a medical image is partitioned into region of interest (ROI) and region of non-interest (RONI). To ensure ROI intergrity, localized tamper detection and recovery bits (LTDRB) are generated. For precise diagnosis, patient's electronic health record (EHR) and LTDRB are embedded in RoNI using hybrid DWT-SVD. No embedding is done in RoI to maintain its integrity and high visual quality. To ensure the security and confidentiality of EHR, a novel encryption scheme using Magic Square technique with low computational cost is proposed . Experimental results demonstrates that the proposed scheme provides high imperceptibility (Avg. PSNR>55 dB, SSIM

Indexed as

Computer SecurityDiagnostic ImagingInternet of ThingsAlgorithmsConfidentialityElectronic Health RecordsHumansImage Processing, Computer-Assisted

Identifiers

PMID40681560
PMCPMC12274549

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