Abstract
With the rapid progress of cloud computing, there has been a marked improvement in the development of smart healthcare applications such as Internet of Medical Things (IoMT), Telemedicine, etc. Cloud-based healthcare systems can efficiently store and communicate patient electronic healthcare records (EHR) while allowing for quick growth and flexibility. Despite the potential benefits, identity violation, copyright infringement, illegal re-distribution, and unauthorized access have all been significant. To address all these breaches, in this paper, a reversible medical image watermarking scheme using interpolation is proposed. The medical image is partitioned into Border Region (BR), Region of Interest (ROI), and Region of Non-interest (RONI) regions. BR is used for embedding integrity checksum code generated from ROI for tamper detection. RONI is used for embedding watermark. To ensure complete recovery of ROI and high embedding capacity, ROI is compressed before embedding. To ensure high-security compressed ROI, hospital emblem and EHR merged and then encrypted using a random key generated from Polybius magic square to get higher security. The proposed scheme is proved to take less computational time as there are no complex functions used in the embedding. The experiments performed on the proposed scheme is proved to have high imperceptibility, robustness, embedding capacity, security, and less computational time. All these confirm that the proposed approach is a potential candidate for suitable in smart healthcare environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Elhoseny, M., et al.: Secure medical data transmission model for IoT-based healthcare systems. In: IEEE Access vol. 6, pp. 20596–20608 (2018)
Anand, A., Singh, A.K.: atermarking techniques for medical data authentication: a survey. Multimedia Tools Appl. 80(20), 30165–30197 (2021)
Giri, K.J., et al.: Survey on reversible watermarking techniques for medical images. In: Multimedia Security. Springer, Singapore, pp. 177–198 (2021)
Alshanbari, H.S.: Medical image watermarking for ownership and tamper detection. Multimedia Tools Appl. 80(11), 16549–16564 (2021)
Nazari, M., Maneshi, A.: Chaotic reversible watermarking method based on iwt with tamper detection for transferring electronic health record. Sec. Commun, Netw (2021)
Thakur, S., et al.: Chao tic based secure watermarking approach for medical images. Multimedia Tools Appl. 79(7), 4263–4276 (2020)
Aparna, P., Kishore, P.V.V.: An efficient medical image watermarking technique in E-healthcare application using hybridization of compression and cryptography algorithm. J. Intell. Syst. 27(1), 115–133 (2018)
Kaw, J.A., et al.: A reversible and secure patient information hiding system for IoT driven e-health. Int. J. Inf. Manag. 45, 262–275 (2019)
Dugelay, J.-L., Roche, S.: Process for marking a multime dia document, such an image, by generating a mark, Pending patent EP 99480075.3, EURECOM 11/12 EP (1999)
Rey, C., Dugelay, J.-L.: Blind detection of malicious al terations on still images using robust watermarks. In: Secure Images and Image Authentication Colloquium. IEE Electronics and Communications, London (2000)
Sangeetha, M., Betty, P., Nanda Kumar, G.S.: A biometrie iris image compression using LZW and hybrid LZW coding algorithm. In: 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). IEEE (2017)
Hassan, F.S., Gutub, A.: Efficient image reversible data hiding technique based on interpolation optimization. Arabian J. Sci. Eng. 46(9), 8441–8456 (2021)
AL-Hashemy, R.H., Mehdi, S.A.: A new algorithm based on magic square and a novel chaotic system for image encryption. J. Intell. Syst. 29(1), 1202–1215 (2020)
Arroyo, J.C.T., Dumdumaya, C.E., Delima, A.J.P.: Polybius square in cryptography: a brief review of literature. Int. J. 9(3) (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Jyothsna Devi, K., Singh, P., Santamaría, J., Patel, S. (2023). Robust and Secured Reversible Data Hiding Approach for Medical Image Transmission over Smart Healthcare Environment. In: Thakkar, H.K., Swarnkar, M., Bhadoria, R.S. (eds) Predictive Data Security using AI. Studies in Computational Intelligence, vol 1065. Springer, Singapore. https://doi.org/10.1007/978-981-19-6290-5_7
Download citation
DOI: https://doi.org/10.1007/978-981-19-6290-5_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-6289-9
Online ISBN: 978-981-19-6290-5
eBook Packages: EngineeringEngineering (R0)