A Novel Lossless Medical Image Encryption Scheme Based on Game Theory With Optimized ROI Parameters and Hidden ROI Position

Zhou, Jian; Li, Jinqing; Di, Xiaoqiang

doi:10.1109/access.2020.3007550

Cited by 52 publications

(54 citation statements)

References 45 publications

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“…In addition to the correlation performance, we examined the efficacy of the proposed lightweight encryption system in terms of other statistical performance variables such as the number of pixels changing rate (NPCR)and unified averaged changed intensity (UACI). Typically, those encryption algorithms or methods which hypothesize that merely including randomness in cipher can enable attack-resilience often under a detrimental effect called avalanche effort or plaintext sensitivity [39][40][41]. Though, the use of Shannon criteria of SPN alleviated such problem, however, maintaining higher changes or sensitivity over encryption is must.…”

Section: ) Number Of Changing Pixel Rates (Npcr)mentioning

confidence: 99%

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Gurumanapalli¹,

Muthuluru²

2021

IJACSA

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In the last few years Internet-of-Things (IoT) technology has emerged significantly to serve varied purposes including healthcare, surveillance and control, business communication, civic administration and even varied financial activities. Despite of such broadened applications, being distributed, wireless based systems, IoTs are often considered vulnerable towards intrusion or malicious attacks, where exploiting the benefits of loosely connected peers, the attackers intend to gain device access or data access un authentically. However, being resource constrained in nature while demanding time-efficient computation, the majority of the classical cryptosystems are either computationally exhaustive or limited to avoid attacks like Brute-Force, Smart Card Loss Attack, Impersonation, Linear and Differential attacks, etc. The assumptions hypothesizing that increasing key-size with higher encryption round can achieve augmented security often fail in IoT due to increased complexity, overhead and eventual resource exhaustion. Considering it as limitation, in this paper we proposed a state-of-art Generalized Feistel Network assisted Shannon-Conditioned and Dynamic Keying based SSPN (GFS-SSPN) Lightweight Encryption System for IoT Security. Unlike classical cryptosystems or even substitution and permutation (SPN) based methods, we designed Shannon-criteria bounded SPN model with Generalized Feistel Network (SPN-GFS) modelthat employs 64-bit dynamic key with five rounds of encryption to enable highly attack-resilient IoT security. The proposed model was designed in such manner that it could be suitable towards both data-level security as well as device level accesscredential security to enable a "Fit-To-All" security solution for IoTs. Simulation results revealed that the proposed GFS-SSPN model exhibits very small encryption time with optimal NPCR and UACI. Additionally, correlation output too was found encouragingly fair, indicating higher attack-resilience.

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Section: ) Number Of Changing Pixel Rates (Npcr)mentioning

confidence: 99%

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Gurumanapalli¹,

Muthuluru²

2021

IJACSA

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“…The second feature of the proposed method lies in lossless decryption [43] and lossless watermarking. The lossless decryption allows the original data to be perfectly recovered from the encrypted data without any attacks.…”

Section: ) Lossless Decryption and Lossless Watermarkingmentioning

confidence: 99%

Commutative Encryption and Watermarking Algorithm Based on Feature Invariants for Secure Vector Map

et al. 2020

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The existing commutative encryption and watermarking (CEW) methods based on feature invariants can achieve both the robustness of the watermarking algorithm and the security of the encryption algorithm. However, they are only applicable to the raster data such as images, videos, etc. In particular, the organization structure and storage structure of vector map have not been considered in these methods. Therefore, they cannot be used for vector map. This paper derives two feature invariants to solve this problem, which are the sum of inner angles and the storage direction of two adjacent objects according to the inherent characteristics of vector map. Based on these two feature invariants, a new CEW method is proposed in this paper, which includes the feature invariants based watermarking algorithm and the perceptual stream cipher based encryption algorithm on coordinates. Since the coordinate values used in encryption and the feature invariants used in watermarking are independent of each other, the commutativity is achieved for the proposed CEW method. The experiments are given to verify that the proposed CEW method can achieve the commutativity between encryption and watermarking without deteriorating accuracy of data. Besides, it has been verified that the proposed method is more robust to rotate, scaling, translation, and projection transformation compared with the existing CEW methods and has high security. The proposed algorithm has good scalability of encryption, and arbitrary encryption methods based on encrypting the coordinate values can be applied without affecting the extracted feature invariants.INDEX TERMS Commutative encryption and watermarking, feature invariant, vector map, perceptual stream cipher, lossless.

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“…For many years, various encryption algorithms have been widely used to provide security for digital images [8][9][10][11][12][13]. Image encryption can provide protection for image information, thus ensuring the confidentiality and security of the image [14].…”

Section: Introductionmentioning

confidence: 99%

Medical image encryption scheme based on self‐verification matrix

Man

2021

IET Image Processing

Self Cite

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To mitigate the shortcomings of existing medical image encryption algorithms, including a lack of anti-tampering methods and security, this report presents an anti-tampering encryption algorithm for medical images that is based on a self-verification matrix. First, chaotic coordinates generated by chaos are used to traverse all pixels in a plain image to generate a two-dimensional matrix (a self-verification matrix) with positioning information. The accurate location of illegally altered image pixels can be detected using the self-verification matrix. To improve the security of the self-authentication matrix, DNA coding is also applied to the self-authentication matrix, and the plain image is also diffused statically to destroy the pixel distribution. Next, the scrambled image and self-verification matrix are mixed and cross-scrambled. Finally, the fused image is diffused dynamically to improve the security of the encrypted image. Experimental simulation and performance analysis show that the algorithm achieves good encryption effectiveness, provides strong anti-tampering capabilities, and can accurately locate at least 4 pixels.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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A Novel Lossless Medical Image Encryption Scheme Based on Game Theory With Optimized ROI Parameters and Hidden ROI Position

Cited by 52 publications

References 45 publications

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Commutative Encryption and Watermarking Algorithm Based on Feature Invariants for Secure Vector Map

Medical image encryption scheme based on self‐verification matrix

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