EMOTE – Multilayered encryption system for protecting medical images based on binary curve

Sasikaladevi, N.; Geetha, K.; Revathi, A.

doi:10.1016/j.jksuci.2019.01.014

Cited by 10 publications

(12 citation statements)

References 34 publications

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“…Recently, many methods for encrypting classical images [ 37 – 39 ] and medical images [ 9 , 40 , 41 ] have been proposed in the literature. Due to the massive data and high correlation between adjacent pixels, encryption of CT-images can be a significant application such that stream cipher over block cipher is strongly favored.…”

Section: Covid-19 Image Encryptionmentioning

confidence: 99%

“…This section provides a comparison of our proposed method with previously implemented methods in the literature [ 40 , 41 , 49 , 50 ]. The performance of our proposed method has been evaluated by conducting several tests based on image quality and other assessment criteria.…”

Section: Comparative Performance Evaluationmentioning

confidence: 99%

“…[ 40 ] 7.9974 53.8291 – – – 99.58 33.42 Ref. [ 41 ] 7.6850 8.4886 0.0075 – 9209.21 – – Ref. [ 49 ] 7.9987 – – 81.21 – 75.50 31.81 Ref.…”

Section: Comparative Performance Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Secure CT-Image Encryption for COVID-19 Infections Using HBBS-Based Multiple Key-Streams

Reyad

Karar

2021

Arab J Sci Eng

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Section: Covid-19 Image Encryptionmentioning

confidence: 99%

Section: Comparative Performance Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Secure CT-Image Encryption for COVID-19 Infections Using HBBS-Based Multiple Key-Streams

Reyad

Karar

2021

Arab J Sci Eng

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“…There exist many benchmarks symmetric and asymmetric cryptographic algorithms such as Advanced Encryption Standard (AES), IDEA (International Data Encryption Algorithm), and RSA (Proposed by Rivest, Shamir, and Adleman) to provide security to text data. But the survey provides evidence that these algorithms are not suitable for image encryption [2,3,10,24]. Image data characteristics like pixel correlation, bulk space, and high redundancy among pixel values make image encryption more challenging compared to text encryption [3,10].…”

Section: Introductionmentioning

confidence: 99%

“…But the survey provides evidence that these algorithms are not suitable for image encryption [2,3,10,24]. Image data characteristics like pixel correlation, bulk space, and high redundancy among pixel values make image encryption more challenging compared to text encryption [3,10]. Image Encryption plays a vital role in secured multimedia communication but the existing symmetric and asymmetric algorithms suffer from side-channel attack, Brute Force attack, Differential attack, and other statistical attacks [4].…”

Section: Introductionmentioning

confidence: 99%

A DNA Cryptographic Solution for Secured Image and Text Encryption

Akiwate¹,

Parthiban²

2021

IJACSA

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In recent days, DNA cryptography is gaining more popularity for providing better security to image and text data. This paper presents a DNA based cryptographic solution for image and textual information. Image encryption involves scrambling at pixel and bit levels based on hyperchaotic sequences. Both image and text encryption involves basic DNA encoding rules, key combination, and conversion of data into binary and other forms. This new DNA cryptographic approach adds more dynamicity and randomness, making the cipher and keys harder to break. The proposed image encryption technique presents better results for various parameters, like Image Histogram, Correlation co-efficient, Information Entropy, Number of Pixels Change Rate (NPCR), and Unified Average Changing Intensity (UACI), Key Space, and Sensitivity compared with existing approaches. Improved time and space complexity, random key generation for text encryption prove that DNA cryptography can be a better security solution for new applications.

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A review of research on medical image confidentiality related technology coherent taxonomy, motivations, open challenges and recommendations

Zhang

Rahmatullah

Wang

et al. 2020

Multimed Tools Appl

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EMOTE – Multilayered encryption system for protecting medical images based on binary curve

Cited by 10 publications

References 34 publications

Secure CT-Image Encryption for COVID-19 Infections Using HBBS-Based Multiple Key-Streams

Secure CT-Image Encryption for COVID-19 Infections Using HBBS-Based Multiple Key-Streams

A DNA Cryptographic Solution for Secured Image and Text Encryption

A review of research on medical image confidentiality related technology coherent taxonomy, motivations, open challenges and recommendations

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