An evolutionary computing enriched RS attack resilient medical image steganography model for telemedicine applications
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TLDR
A highly robust reversible image steganography model has been developed for secret information hiding and outperforms other wavelet transformation based approaches in terms of high PSNR, embedding capacity, imperceptibility etc.Abstract:
The recent advancement in computing technologies and resulting vision based applications has given rise to a novel practice called telemedicine that requires patient diagnosis images or allied information to recommend or even perform diagnosis practices being located remotely. However, to ensure accurate and optimal telemedicine there is the requirement of seamless or flawless biomedical information about patient. On the contrary, medical data transmitted over insecure channel often remains prone to manipulated or corrupted by attackers. The existing cryptosystems alone are not sufficient to deal with these issues and hence in this paper a highly robust reversible image steganography model has been developed for secret information hiding. Unlike traditional wavelet transform techniques, we incorporated Discrete Ripplet Transformation technique for message embedding in the medical cover images. In addition to, ensure seamless communication over insecure channel, a dual cryptosystem model containing proposed steganography scheme and RSA cryptosystem has been developed. One of the key novelties of the proposed research work is the use of adaptive genetic algorithm for optimal pixel adjustment process that enriches data hiding capacity as well as imperceptibility features. The performance assessment reveals that the proposed steganography model outperforms other wavelet transformation based approaches in terms of high PSNR, embedding capacity, imperceptibility etc.read more
Citations
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Journal ArticleDOI
Hybrid data encryption model integrating multi-objective adaptive genetic algorithm for secure medical data communication over cloud-based healthcare systems
R. Denis,P. Madhubala +1 more
TL;DR: A new hybridization of data encryption model to shelter the diagnosis data in medical images and prevent attacks is introduced, using an Adaptive Genetic Algorithm for Optimal Pixel Adjustment Process that enriches data hiding ability as well as imperceptibility features.
Journal ArticleDOI
Reversible Data Hiding for Electronic Patient Information Security for Telemedicine Applications
TL;DR: This paper proposes an innovative Reversible Data Hiding (RDH) scheme using Lagrange’s interpolation polynomial, secret sharing, and bit substitution for EHI security, and shows that the proposed scheme outperforms the schemes under comparison in terms of imperceptibility and payload.
Book ChapterDOI
Secure Text Extraction From Complex Degraded Images by Applying Steganography and Deep Learning
Binay Kumar Pandey,Deepak Mane,Vinay Kumar Nassa,Digvijay Pandey,Shawni Dutta,Randy Joy Magno Ventayen,Gaurav Agarwal,Rahul Rastogi +7 more
TL;DR: This work's primary goal is to secure the transmission of text hidden within the cover image using steganography over a public network of computers using an improved least significant bit Steganography method.
Journal Article
Reversible Data Hiding Based on Histogram Modification of Pixel Differences
TL;DR: In this article, a reversible data hiding scheme based on histogram modification is proposed, where the binary tree structure is exploited to solve the problem of communicating pairs of peak points and the distribution of pixel differences is used to achieve large hiding capacity while keeping the distortion low.
Journal ArticleDOI
An improved reversible and secure patient data hiding algorithm for telemedicine applications
TL;DR: An enhanced reversible data hiding method in the encrypted domain has been introduced here that gives a higher embedding rate than all the looked atversible data hiding methods by embedding k , ( $$k\ge 1$$ k ≥ 1 ) binary bits of a secret message at every pixel of a cover image without any occurrence of underflow and overflow problem.
References
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Book
A wavelet tour of signal processing
TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
Book
Ten lectures on wavelets
TL;DR: This paper presents a meta-analyses of the wavelet transforms of Coxeter’s inequality and its applications to multiresolutional analysis and orthonormal bases.
Journal ArticleDOI
Reversible data embedding using a difference expansion
TL;DR: The redundancy in digital images is explored to achieve very high embedding capacity, and keep the distortion low, in a novel reversible data-embedding method for digital images.
Journal ArticleDOI
The curvelet transform for image denoising
TL;DR: In this paper, the authors describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform, which offer exact reconstruction, stability against perturbations, ease of implementation, and low computational complexity.
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