Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm

Avudaiappan, T.; Balasubramanian, R.; Pandiyan, Sanjeevi; Saravanan, M.; Lakshmanaprabu, S.K.; Shankar, K.

doi:10.1007/s10916-018-1053-z

Cited by 74 publications

(19 citation statements)

References 27 publications

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“…During the key generation stage, the important domain parameters namely private/public keys are generated and a certificate for the public key for each client is created, in addition, consider a prime number PN. The elements of the system are divided into a pair of fields namely prime and binary fields [13]. The proper field is considered for the cryptographic processes with maximum attention.…”

Section: Key Generation Processmentioning

confidence: 99%

Opposition Based Joint Grey Wolf-Whale Optimization Algorithm Based Attribute Based Encryption in Secure Wireless Communication

Raja

Dhanasekaran

Vasudevan

2021

Wireless Pers Commun

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At present times, medical image security becomes a hot research topic in the healthcare sector. This paper presents an efficient lightweight image encryption model based on the Dynamic key generating Attribute based encryption (ABE) method with Opposition based joint Grey Wolf-Whale Optimization Algorithm (OjGW-WOA). The proposed encryption method undergoes certain pre-encryption steps like rotation and random column addition steps. Once the preencryption steps are done, ABE with OjGW-WOA is incorporated, where the optimal key is generated based on entropy value. In addition, the oppositional based learning (OBL) concept is introduced to enhance the convergence rate and searching process of GWO and WOA algorithms.Next, the proposed encryption method is designed with a dynamic key generating model that generates updated keys during every time period. Therefore, during decryption, two-level key verification is done. At the first decryption stage, the key corresponding to that particular time period is required, then the original key is generated from that key and then employed for decrypting the original data. The proposed method is simulated using MATLAB tool and a detailed comparative results analysis is carried out. The performance of the proposed work is validated with the aid of performance metrics like Peak Signal to Noise Ratio (PSNR), number of changing pixel rate (NPCR) and unified averaged changed intensity (UACI). The experimental results stated that the presented model has resulted to a higher PSNR of 62.29dB, NPCR of 99.23%, and UACI of 23.67%.

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Section: Key Generation Processmentioning

confidence: 99%

Opposition Based Joint Grey Wolf-Whale Optimization Algorithm Based Attribute Based Encryption in Secure Wireless Communication

Raja

Dhanasekaran

Vasudevan

2021

Wireless Pers Commun

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“…1 Qilu University of Technology (Shandong Academy of Science), Shandong Provincial Key Laboratory of Computer Networks Jinan, Jinan, China. 2 School of Computing, University of South Alabama, Mobile, AL 36688, USA. 3 College of Allied Health Professions, University of South Alabama, Mobile, AL 36608, USA.…”

Section: Fundingmentioning

confidence: 99%

“…Unfortunately, the quickest (and generally efficient) means of sharing medical images typically is via open networks, such as file share and/or emails. These types of transmissions expose the images to activities such as content tampering, illegal copying, and copyright loss [2]. As a result, research in medical image security has grown, with some foci emphasis in the areas of image encryption and information hiding [3].…”

Section: Introductionmentioning

confidence: 99%

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

Zhang

et al. 2020

BMC Med Inform Decis Mak

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Background Medical image data, like most patient information, have a strong requirement for privacy and confidentiality. This makes transmitting medical image data, within an open network, problematic, due to the aforementioned issues, along with the dangers of data/information leakage. Possible solutions in the past have included the utilization of information-hiding and image-encryption technologies; however, these methods can cause difficulties when attempting to recover the original images. Methods In this work, we developed an algorithm for protecting medical image key regions. Coefficient of variation is first employed to identify key regions, a.k.a. image lesion areas; then additional areas are processed as blocks and texture complexity is analyzed. Next, our novel reversible data-hiding algorithm embeds lesion area contents into a high-texture area, after which an Arnold transformation is utilized to protect the original lesion information. After this, we use image basic information ciphertext and decryption parameters to generate a quick response (QR) code used in place of original key regions. Results The approach presented here allows for the storage (and sending) of medical image data within open network environments, while ensuring only authorized personnel are able to recover sensitive patient information (both image and meta-data) without information loss. Discussion Peak signal to noise ratio and the Structural Similarity Index measures show that the algorithm presented in this work can encrypt and restore original images without information loss. Moreover, by adjusting the threshold and the Mean Squared Error, we can control the overall quality of the image: the higher the threshold, the better the quality and vice versa. This allows the encryptor to control the amount of degradation as, at appropriate amounts, degradation aids in the protection of the image. Conclusions As shown in the experimental results, the proposed method allows for (a) the safe transmission and storage of medical image data, (b) the full recovery (no information loss) of sensitive regions within the medical image following encryption, and (c) meta-data about the patient and image to be stored within and recovered from the public image.

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“…Performing the secure hash function on Capture ID by SHA-160, the output block size has 160 bit (Message Digest Length = 160). With initial input Key was "acef" and initial hash value were: (11), then the output will be:…”

Section: Indonesian J Elec Eng and Comp Sci Issn: 2502-4752 mentioning

confidence: 99%

“…In T. Avudaiappan [11], the dual encryption procedure such as signcryption algorithms and blowfish are used to implement the security model for medical images. In the encryption process, using OFP based signcryption technique the Public key and the private key are optimized.…”

Section: Introductionmentioning

confidence: 99%

A robust watermarking algorithm for medical images

Nagm

Safy²

2020

IJEECS

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<p>Integrated healthcare systems require the transmission of medical images between medical centres. The presence of watermarks in such images has become important for patient privacy protection. However, some important issues should be considered while watermarking an image. Among these issues, the watermark should be robust against attacks and does not affect the quality of the image. In this paper, a watermarking approach employing a robust dynamic secret code is proposed. This approach is to process every pixel of the digital image and not only the pixels of the regions of non-interest at the same time it preserves the image details. The performance of the proposed approach is evaluated using several performance measures such as the Mean Square Error (MSE), the Mean Absolute Error (MAE), the Peak Signal to Noise Ratio (PSNR), the Universal Image Quality Index (UIQI) and the Structural Similarity Index (SSIM). The proposed approach has been tested and shown robustness in detecting the intentional attacks that change image, specifically the most important diagnostic information.</p>

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Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm

Cited by 74 publications

References 27 publications

Opposition Based Joint Grey Wolf-Whale Optimization Algorithm Based Attribute Based Encryption in Secure Wireless Communication

Opposition Based Joint Grey Wolf-Whale Optimization Algorithm Based Attribute Based Encryption in Secure Wireless Communication

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

A robust watermarking algorithm for medical images

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