Medical Image Cryptosystem using Dynamic Josephus Sequence and Chaotic-hash Scrambling

Setiadi, De Rosal Ignatius Moses; Rachmawanto, Eko Hari; Zulfiningrum, Rahmawati

doi:10.1016/j.jksuci.2022.04.002

Cited by 17 publications

(16 citation statements)

References 27 publications

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“…In particular, medical images are images that have different characteristics compared to natural images and graphic images. In general, medical images show a higher degree of homogeneity and correlation between neighboring pixels [3].…”

Section: Introductionmentioning

confidence: 99%

“…Encryption in digital images has different characteristics from the text. Some of them are high correlation between adjacent pixels, high redundancy, and large volume, so classical and standard encryption methods are not suitable for image encryption [3,6,7]. Especially in medical images, where this image has more homogeneous characteristics and a higher correlation [3].…”

Section: Introductionmentioning

confidence: 99%

“…Some of them are high correlation between adjacent pixels, high redundancy, and large volume, so classical and standard encryption methods are not suitable for image encryption [3,6,7]. Especially in medical images, where this image has more homogeneous characteristics and a higher correlation [3]. The chaotic method is one of the solutions that is widely used in image encryption, and this is because of its characteristics which have a strong random level, unpredictable, integration complexity, ergodicity, and sensitivity to initial values [2,3,[6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…Especially in medical images, where this image has more homogeneous characteristics and a higher correlation [3]. The chaotic method is one of the solutions that is widely used in image encryption, and this is because of its characteristics which have a strong random level, unpredictable, integration complexity, ergodicity, and sensitivity to initial values [2,3,[6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…The quality of encryption also depends on the quality of the key entered, a good key can increase the quality and strength of encryption from various attacks. To improve the quality of the key, a hashing method can be used as in research [3,13,14,17,18]. Another thing to consider is the encryption speed of a method, especially if a method is to be implemented in real-time applications [11,19] Therefore, this study proposes a method to encrypt medical images by combining several methods such as combination chaos operations, bitplane and hashing to improve encryption quality.…”

Section: Introductionmentioning

confidence: 99%

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Medical Image Encryption Using Bit Plane Slicing, Dynamic Chaos, and Hash Function

2022

IJIES

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Telemedicine is a communication in the medical field that requires privacy and confidentiality, so encryption is needed as a security method. The development of encryption methods must accompany technological developments. This research proposes a cryptography method developed and tested on medical images. This method consists of bit plane slicing, system chaos, and hash function. Bit plane slicing to break up the image bits so that they can be scrambled independently and dynamically with the chaos method. The hash function encrypts key 1, which is user input. The chaos method is run with dynamic parameters generated with a hash function to perform the confusion process on each bit plane. Then bit-plane join is performed, followed by the diffusion process using a logistic map with the second key for the parameter. The method is sensitive to slightly modified plain images or keys. Several measurement tools use to prove the method's performance. The result is a mean value are 7.999 for entropy information, 99.6027 for the number of pixels change rate (NPCR), 33.0925 for unified average changing intensity (UACI), 0.0021 for correlation coefficient, 231.8679 for chi-square and histogram, 50.0550 for avalanche effect, and perceptual analysis have proven the proposed method has satisfactory performance. The decryption is also done perfectly, as verified by the structural similarity index (SSIM)=1, peak signal-to-noise ratio (PSNR) is ∞, and bit error ratio (BER) is 0. Finally, this method can also work very fast in less than one second, so it can be implemented in real-time encryption.

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Section: Introductionmentioning

confidence: 99%