Transreceiving of encrypted medical image – a cognitive approach

Praveenkumar, Padmapriya; Devi, N. Kerthana; Ravichandran, Dhivya; Jayapalan, Avila; Thenmozhi, K.; Rayappan, John Bosco Balaguru; Amirtharajan, Rengarajan

doi:10.1007/s11042-017-4741-7

Cited by 26 publications

(8 citation statements)

References 40 publications

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“…The flatter the distribution of gray pixel values is, the higher the information entropy. It is calculated by the following equation [35]:

H false(x false) = - \sum_{i = 1}^{L} p false(x_{i} false) l o g_{2} p false(x_{i} false),

where

p (x_{i})

represents the probability of the information source x , for an 8‐bit depth gray image, the maximum value of entropy is 8. So, the closer it gets to 8, the greater and random the cryptosystem is.…”

Section: Resultsmentioning

confidence: 99%

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Robustly correlated key‐medical image for DNA‐chaos based encryption

Aouissaoui

Bakir

Sakly

2021

IET Image Processing

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Medical images include confidential and sensitive information about patients. Hence, ensuring the security of these images is a crucial requirement. This paper proposes an efficient and secure medical image encryption-decryption scheme based on deoxyribonucleic acid (DNA), one-dimensional chaotic maps (tent and logistic maps), and hash functions (SHA-256 and MD5). The first part of the proposed scheme is the key generation based on the hash functions of the image and its metadata. The key then is highly related and intensely sensitive to the original image. The second part is the rotation and permutation of the first two MSB bit-plans of the medical image to reduce its black background that produces redundant DNA encoded sequences. The third part is the DNA encoding-decoding using dynamically chosen DNA rules for every 2-bit pixel value through the logistic map. Meanwhile, the confusion-diffusion is performed using the tent map and XOR operation. Simulation results and security analysis prove the good encryption effects of the proposed scheme compared to the state-of-art methods with a correlation of 6.66617e-7 and a very large key space of 2 624 . Furthermore, the proposed system has a strong ability to resist various common attacks such as chosen/known-plaintext attacks and cropping/noise attacks. Recently, there has been a significant interest in chaosbased cryptography because of its interesting features such asThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…The flatter the distribution of gray pixel values is, the higher the information entropy. It is calculated by the following equation [35]:

H false(x false) = - \sum_{i = 1}^{L} p false(x_{i} false) l o g_{2} p false(x_{i} false),

where

p (x_{i})

Section: Resultsmentioning

confidence: 99%

“…The DNA is a molecule composed of four types of nucleotides: Adenine (A), Thymine (T), Cytosine (C), and Guanine (G). Among these bases, A and G are complementary to T and C, respectively [35]. In binary numbers, 0 is the complement of 1.…”

Section: Introductionmentioning

confidence: 99%

Robustly correlated key‐medical image for DNA‐chaos based encryption

Aouissaoui

Bakir

Sakly

2021

IET Image Processing

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“…The proposed scheme involves operations like RC5, Logistic mapping, DNA, DGT, LSIC and CR based sensing schemes. The descriptions of the methods are as follows [4]- [6], [8], [10], [12]:…”

Section: Background Of the Proposed Schemementioning

confidence: 99%

“…To conserve the concealment of the information new proficiency was developed to make high authentication in communication, one such developed is encryption. Encryption techniques are very optimistic for digital images and should be used to disappoint opponent attacks from unintended users [4], [5].…”

Section: Introductionmentioning

confidence: 99%

CR Assisted IE Guarded Authenticated Biomedical Image Transactions

et al. 2018

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In this android era, the word spectrum is connected with trillion faces. The underutilization problem of the spectrum in most of the applications results in the paucity of this scarce resource. Cognitive radio (CR) is an astute technology implemented for the opportunistic usage of idle spectrum resource dynamically. This paper focuses on sensing of the vacant channels, and it is pre-owned for the transmission of encrypted DICOM information. The proposed algorithm involves encryption schemes like RC5, latin square image cipher, deoxyribo nucleic acid, and discrete Gould transform (DGT) to render confusion, diffusion, and permutation operations. Further, the uncorrelated cipher image is transmitted via the identified unused licensed spectrum. The proposed scheme guarantees the authorised transactions among the stack holders like patients, doctors, and hospital management systems. It also ascertains and enhances the validation of the cipher biomedical interactions among peers by assuring tamper proofing using DGT. Simulations have been conceded over universal software radio peripheral to validate the biomedical data transactions after sensing the unused spectrum. Metrics like global-local entropies, correlation coefficients, key sensitivity, chi-square tests, cropping attacks and differential attack analysis were estimated to authenticate the robustness of the projected encryption scheme.

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“…In terms of form, these maps are all chaotic maps with low dimension. The image encryption system built by Praveenkumar is based on logical mapping, but its weakness is that its anti attack ability is not obvious [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Encryption method and security analysis of medical images based on stream cipher enhanced logical mapping

Liu

Pang

2021

THC

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BACKGROUND: Medical image security has been paid more attention in the medical field. OBJECTIVE: In order to achieve a higher security level of medical image encryption, this paper proposes a stream cipher enhanced logic mapping encryption method. METHODS: According to the theory of stream cipher, this method uses Chebyshev map to form encryption key. A series of coding operations are used to set the initial value before image chaos processing. Combining with logical mapping, the original image information is encrypted by chaos from X and Y dimensions. RESULTS: The experimental results show that the NPCR value of the encrypted image is 0.9874 after the blood cells are encrypted. CONCLUSIONS: All four evaluation methods fully prove that this method has excellent encryption performance.

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Transreceiving of encrypted medical image – a cognitive approach

Cited by 26 publications

References 40 publications

Robustly correlated key‐medical image for DNA‐chaos based encryption

Robustly correlated key‐medical image for DNA‐chaos based encryption

CR Assisted IE Guarded Authenticated Biomedical Image Transactions

Encryption method and security analysis of medical images based on stream cipher enhanced logical mapping

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