A Robust Quasi-Quantum Walks-based Steganography Protocol for Secure Transmission of Images on Cloud-based E-healthcare Platforms
A Robust Quasi-Quantum Walks-based Steganography Protocol for Secure Transmission of Images on Cloud-based E-healthcare Platforms
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DOI：
10.3390/s20113108
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发表时间：
2020-06-01
期刊：
影响因子：
3.9
通讯作者：
Abd El-Latif, Ahmed A.
中科院分区：
文献类型：
--
作者：
Abd-El-Atty, Bassem;Iliyasu, Abdullah M.;Abd El-Latif, Ahmed A.
传统上，防篡改隐写术涉及使用有效的协议来加密隐写封面图像和/或隐藏消息，然后将其嵌入到载体对象中。然而，随着向量子计算范式的不可避免的过渡，其巨大的计算能力将被利用来违反即使是最好的非量子，即，经典的隐写协议就其本身而言，量子漫步可以利用其惊人的“量子性”来传播非线性混沌行为，以及其对主密钥参数变化的足够敏感性，这两个属性对于有效的信息安全都是重要的。我们的研究探索使用经典（即，受控制的交替量子行走的量子启发的）再现（即，CAQWs）模型，通过定位覆盖秘密（或隐藏）比特的内容，为基于云的电子医疗平台制作鲁棒的图像隐写协议。在我们的技术中采用的设计排除了对载体和秘密图像的预加密和/或后加密的需要。此外，我们的设计简化了提取机密（隐藏）信息的过程，因为只需要隐写图像和主状态来运行CAQW。我们在医学图像数据集上验证了我们提出的协议，该协议在安全性，良好的视觉质量，高抗数据丢失攻击，高嵌入容量等方面表现出显着的成果，使得所提出的方案成为一种真正有效的医学图像隐写策略。
Traditionally, tamper-proof steganography involves using efficient protocols to encrypt the stego cover image and/or hidden message prior to embedding it into the carrier object. However, as the inevitable transition to the quantum computing paradigm beckons, its immense computing power will be exploited to violate even the best non-quantum, i.e., classical, stego protocol. On its part, quantum walks can be tailored to utilise their astounding 'quantumness' to propagate nonlinear chaotic behaviours as well as its sufficient sensitivity to alterations in primary key parameters both important properties for efficient information security. Our study explores using a classical (i.e., quantum-inspired) rendition of the controlled alternate quantum walks (i.e., CAQWs) model to fabricate a robust image steganography protocol for cloud-based E-healthcare platforms by locating content that overlays the secret (or hidden) bits. The design employed in our technique precludes the need for pre and/or post encryption of the carrier and secret images. Furthermore, our design simplifies the process to extract the confidential (hidden) information since only the stego image and primary states to run the CAQWs are required. We validate our proposed protocol on a dataset of medical images, which exhibited remarkable outcomes in terms of their security, good visual quality, high resistance to data loss attacks, high embedding capacity, etc., making the proposed scheme a veritable strategy for efficient medical image steganography.