A DNA Sequencing Medical Image Encryption System (DMIES) Using Chaos Map and Knight's Travel Map

Adithya, B.; Santhi, G.

doi:10.4018/ijrqeh.308803

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…It was computed between the original and encrypted ECG signals. The correlation coefficient is calculated according to [25], all available pairs of columns and rows in the raw and encrypted ECG data were selected. Then, the linear correlation value between every pair was determined.…”

Section: Correlation Analysismentioning

confidence: 99%

Securing Signal Encryption Based on Reduced Round Homomorphic AES

2023

IJIES

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Cryptography plays a vital role in protecting information that has increased as a result of digitalization. Personal sensitive information, including electrocardiogram (ECG) signals, is widely transferred around the world, and as a result, protecting the data from unauthorized access by attackers is critical. One of the algorithms that is frequently used is the advanced encryption standard (AES) algorithm, due to its remarkable reliability and its usage in a wide range of applications. However, key exchange is still necessary to execute computations on the encrypted data, whereas time is considered the essence of the efficiency of the encryption algorithm. This study proposes and investigates the use of the proposed improved reduced round AES algorithm in conjunction with the new proposed fully homomorphic encryption (FHE) in order to preserve data privacy and eliminate key exchange restrictions. This research was employed to process, encrypt, and decrypt digital ECG signals. The suggested algorithm improves the security level and encryption and decryption times by using fewer rounds of encryption. In order to achieve this goal, it was suggested that the evaluation process be added to the AES algorithm as an extra level of security. With the evaluation process, it is possible to execute a number of computation operations homomorphically on the encrypted data without decrypting it. Additionally, the number of rounds in the AES encryption was decreased from 10 to 5. Results indicate that the proposed algorithm would take 5.39475 × 10 32 years to break, making it more efficient than the traditional AES and others. Also, the proposed algorithm has a classification sensitivity of 95.83% while simultaneously displaying an accuracy of 100%. Additionally, it may be utilized for real-time internet of things (IoT) applications.

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Section: Correlation Analysismentioning

confidence: 99%

Securing Signal Encryption Based on Reduced Round Homomorphic AES

2023

IJIES

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“…To secure sensitive medical images, a new cryptosystem is presented in [59]. Using DNA sequencing, Knight's trip map, intertwining chaotic maps, and affinity transforming.…”

Section: Encryption Based On Elliptic Curve Cryptography (Ecc)mentioning

confidence: 99%

Medical Image Encryption: A Comprehensive Review

et al. 2023

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In medical information systems, image data can be considered crucial information. As imaging technology and methods for analyzing medical images advance, there will be a greater wealth of data available for study. Hence, protecting those images is essential. Image encryption methods are crucial in multimedia applications for ensuring the security and authenticity of digital images. Recently, the encryption of medical images has garnered significant attention from academics due to concerns about the safety of medical communication. Advanced approaches, such as e-health, smart health, and telemedicine applications, are employed in the medical profession. This has highlighted the issue that medical images are often produced and shared online, necessitating protection against unauthorized use.

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Image encryption of medical images

Pandey,

Gupta

2024

Advances in Computers

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A DNA Sequencing Medical Image Encryption System (DMIES) Using Chaos Map and Knight's Travel Map

Cited by 3 publications

References 40 publications

Securing Signal Encryption Based on Reduced Round Homomorphic AES

Securing Signal Encryption Based on Reduced Round Homomorphic AES

Medical Image Encryption: A Comprehensive Review

Image encryption of medical images

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