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Sundararaman Rajagopalan

Researcher at Shanmugha Arts, Science, Technology & Research Academy

Publications -  50
Citations -  431

Sundararaman Rajagopalan is an academic researcher from Shanmugha Arts, Science, Technology & Research Academy. The author has contributed to research in topics: Encryption & Field-programmable gate array. The author has an hindex of 10, co-authored 50 publications receiving 280 citations.

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Ring oscillator as confusion – diffusion agent: a complete TRNG drove image security

TL;DR: Two ring oscillator (RO) based TRNG structures adopting identical and non-identical ring of inverters have alone been employed for confusion (scrambling) and diffusion (intensity variation) processes for encrypting the greyscale and RGB images.
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Networked medical data sharing on secure medium – A web publishing mode for DICOM viewer with three layer authentication

TL;DR: In this paper, a security enhanced DICOM image sharing over a LAN addressing confidentiality, integrity and authentication has been proposed, where the AES encrypted patient history was combined along with the thumb impression and Quick Response (QR) code of patient ID as watermark.
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Encrypted Biography of Biomedical Image - a Pentalayer Cryptosystem on FPGA

TL;DR: Various analyses such as Number of Pixel Change Rate (NPCR), Unified Average Change in Intensity (UACI), Entropy, Correlation, Uniform distribution and NIST statistical test suite have been performed to prove the robustness of the algorithm against various attacks.
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Networked hardware assisted key image and chaotic attractors for secure RGB image communication

TL;DR: The proposed approach is a hardware – software codesign which possesses a good keyspace, improved key sensitivity and satisfies the various statistical parameters thus offering substantial resistance to differential, occlusion and chosen plaintext attacks on RGB images.
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Neural-assisted image-dependent encryption scheme for medical image cloud storage

TL;DR: The back propagation neural network has been employed to generate image-specific keys that increase the resiliency against hackers that are used as an initial seed for confusion and diffusion sequence generation through HNN.