Improved diagonal queue medical image steganography using Chaos theory, LFSR, and Rabin cryptosystem

Jain, Mamta; Kumar, Anil; Choudhary, Rishabh

doi:10.1007/s40708-016-0057-z

Cited by 21 publications

(6 citation statements)

References 13 publications

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“… Jain and Kumar. [ 75 ] High Imperceptible 79.36 0.0021 1.03 bpp Percentage 36% NA The algorithm is not appropriate for real-time applications due to the high complexity Naidu et al [ 122 ] Low Imperceptible 73.02 0.0049 Approx 1.55 bpp Pixel Difference Histogram The drawback of the proposed scheme was that it did not separate the image into ROI and RONI Regions. (Nguyen et al, 2015) [ 124 ] High Imperceptible Approx 46 NA 1.5 bpp SPAM with Ensemble Out of Bag (OOB) NA (S. Shen et al, 2015) [ 156 ] Low Not Imperceptible 36 0.045 1.5 bpp RS analysis, Pixel Difference Histogram Not Imperceptible (Grajeda- Marín et al, 2016) [ 57 ] High Imperceptible 38.33 NA 2.14 bpp NA NA …”

Section: Discussionmentioning

confidence: 99%

Security of medical images for telemedicine: a systematic review

Magdy

Hosny

Ghali

et al. 2022

Multimed Tools Appl

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Recently, there has been a rapid growth in the utilization of medical images in telemedicine applications. The authors in this paper presented a detailed discussion of different types of medical images and the attacks that may affect medical image transmission. This survey paper summarizes existing medical data security approaches and the different challenges associated with them. An in-depth overview of security techniques, such as cryptography, steganography, and watermarking are introduced with a full survey of recent research. The objective of the paper is to summarize and assess the different algorithms of each approach based on different parameters such as PSNR, MSE, BER, and NC.

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Section: Discussionmentioning

confidence: 99%

Security of medical images for telemedicine: a systematic review

Magdy

Hosny

Ghali

et al. 2022

Multimed Tools Appl

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“…Using the Rabin cryptosystem, getting plaintext back from the cipher text is considered as hard as factoring. Because of this feature, Rabin cryptosystem is used in numerous research applications [6][7][8][9]. Rabin cryptography can secure e-commerce transactions by encrypting sensitive information using the public key and decrypting it using the private key.…”

Section: Related Workmentioning

confidence: 99%

A Novel and Secure Fake-Modulus Based Rabin-Ӡ Cryptosystem

Ramesh,

Dodmane,

Shetty

et al. 2023

Cryptography

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Electronic commerce(E-commerce) transactions require secure communication to protect sensitive information such as credit card numbers, personal identification, and financial data from unauthorized access and fraud. Encryption using public key cryptography is essential to ensure secure electronic commerce transactions. RSA and Rabin cryptosystem algorithms are widely used public key cryptography techniques, and their security is based on the assumption that it is computationally infeasible to factorize the product of two large prime numbers into its constituent primes. However, existing variants of RSA and Rabin cryptosystems suffer from issues like high computational complexity, low speed, and vulnerability to factorization attacks. To overcome the issue, this article proposes a new method that introduces the concept of fake-modulus during encryption. The proposed method aims to increase the security of the Rabin cryptosystem by introducing a fake-modulus during encryption, which is used to confuse attackers who attempt to factorize the public key. The fake-modulus is added to the original modulus during encryption, and the attacker is unable to distinguish between the two. As a result, the attacker is unable to factorize the public key and cannot access the sensitive information transmitted during electronic commerce transactions. The proposed method’s performance is evaluated using qualitative and quantitative measures. Qualitative measures such as visual analysis and histogram analysis are used to evaluate the proposed system’s quality. To quantify the performance of the proposed method, the entropy of a number of occurrences for the pixels of cipher text and differential analysis of plaintext and cipher text is used. When the proposed method’s complexity is compared to a recent variant of the Rabin cryptosystem, it can be seen that it is more complex to break the proposed method—represented as O(ɲ× τ) which is higher than Rabin-P (O(ɲ)) algorithms.

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“…Therefore, this section will investigate what this technique has provided in protecting medical information as many researchers have presented various LSB-based steganography schemes during the recent years to achieve different objectives and requirements. There are many existing works on steganography schemes that utilise LSB (9,(91)(92)(93)(94)(95)(96)(97)(98)(99)(100)(101).…”

Section: Least Significant Bit (Lsb)mentioning

confidence: 99%

“…Furthermore, the algorithm proposed a unique key generation randomised approach for every session to select the edge blocks required for embedding patients' information by using a sudoku puzzle template to improve the security of the message being transmitted (97). Jain et al added an improvement to their previous scheme of transferring confidential medical data in an improved diagonal queue by using a chaotic standard map, linear feedback shift register (LSFR), and multilevel cryptography by Rabin cryptosystem (96,98). The confidential message blocks and sub-blocks were distributed randomly by utilising pseudo-random sequences by the sender to the cover image blocks with regard to enhanced diagonal queues.…”

Section: Least Significant Bit (Lsb)mentioning

confidence: 99%

A Comprehensive Review on Medical Image Steganography Based on LSB Technique and Potential Challenges

2021

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The rapid development of telemedicine services and the requirements for exchanging medical information between physicians, consultants, and health institutions have made the protection of patients’ information an important priority for any future e-health system. The protection of medical information, including the cover (i.e. medical image), has a specificity that slightly differs from the requirements for protecting other information. It is necessary to preserve the cover greatly due to its importance on the reception side as medical staff use this information to provide a diagnosis to save a patient's life. If the cover is tampered with, this leads to failure in achieving the goal of telemedicine. Therefore, this work provides an investigation of information security techniques in medical imaging, focusing on security goals. Encrypting a message before hiding them gives an extra layer of security, and thus, will provide an excellent solution to protect the sensitive information of patients during the sharing of medical information. Medical image steganography is a special case of image steganography, while Digital Imaging and Communications in Medicine (DICOM) is the backbone of all medical imaging divisions, whereby it is most broadly used to store and transmit medical images. The main objective of this study is to provide a general idea of what Least Significant Bit-based (LSB) steganography techniques have achieved in medical images.

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Improved diagonal queue medical image steganography using Chaos theory, LFSR, and Rabin cryptosystem

Cited by 21 publications

References 13 publications

Security of medical images for telemedicine: a systematic review

Security of medical images for telemedicine: a systematic review

A Novel and Secure Fake-Modulus Based Rabin-Ӡ Cryptosystem

A Comprehensive Review on Medical Image Steganography Based on LSB Technique and Potential Challenges

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