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An efficient image encryption scheme for TMIS based on elliptic curve integrated encryption and linear cryptography

机译:基于椭圆曲线集成加密和线性加密的TMI的有效图像加密方案

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摘要

Nowadays, diagnosing patient diseases remotely is a routine and digital medical images analysis as a part of Telecare Medical Information Systems (TMIS) play a fundamental role in early diagnosing and treating most common and serious diseases such as breast cancer. In this context, altering or distorting even a single pixel of a medical image during its transmission over an unsure channel could lead to a wrong diagnosis and harm patient health, induce damaging delays. Therefore the security and privacy of the transmitted medical images must be addressed most seriously. Several techniques are proposed in the literature to address these issues using different techniques such as chaos theory, more recently, elliptic curves cryptography (ECC) or improved classical methods such as linear cryptography. In this paper, we address the security level concern of an image encryption technique combining ECC with Hill cipher (ECCHC) which has been recently proposed by Dawahdeh et al [13]. Our study rises concerns about some weaknesses and flaws of the analyzed encryption scheme against some plain-text and known plain-text attacks. In addition, and not least issue, it is found that the key length used in Dawahdeh et al. scheme is not sufficiently large to be robust against brute force attack. To fix the found flaws and to improve the encryption scheme, a generalized cryptosystem is suggested. In the enhanced version, the key matrix negotiation is redefined to a cipher that combines a modified EC Integrated Encryption Scheme (ECIES) and the linear multiplication matrix is generalized to key matrix of (In × 2n), n > 2 to counter efficiently the exhaustive search attack. The effectiveness of the proposed version is evaluated and verified through extensive experimentation and most recent available security tools. Compared with the state-of-the art techniques, the proposed version exhibits excellent security features and can resist to various knowing attacks.
机译:如今,远程诊断患者疾病是常规和数字医学图像分析,作为远程​​护理医疗信息系统(TMIs)在早期诊断和治疗乳腺癌等最常见和严重疾病中起着基本作用。在这种情况下,改变或扭曲在不确定信道的传输过程中甚至在其传输过程中的单个像素可能导致错误的诊断和伤害患者健康,引起破坏性延迟。因此,必须最严重地解决传播的医学图像的安全性和隐私。在文献中提出了几种技术,以解决使用混沌理论的不同技术,最近,椭圆曲线加密(ECC)或改进的经典方法,例如线性加密。在本文中,我们解决了与山密码(ecchc)组合ECC的图像加密技术的安全级别关注,该山密码(ecchc)已经由Dawahdeh等[13]提出。我们的研究令关于分析的加密方案对一些纯文本和已知的纯文本攻击的一些弱点和缺陷的担忧。此外,并非最不重要的问题,发现Dawahdeh等人使用的关键长度。方案对抗蛮力攻击并不足够大。为了修复发现的缺陷并提高加密方案,建议了广义密码系统。在增强版本中,密钥矩阵协商被重新定义为组合修改的EC集成加密方案(ECIES)的密码,并且线性乘法矩阵通常是(以×2n),n> 2的键矩阵,以有效地静止搜索攻击。通过广泛的实验和最近的可用安全工具进行评估和验证拟议版本的有效性。与最先进的技术相比,所提出的版本具有出色的安全功能,可以抵抗各种知识攻击。

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